24.8.8 ATR -- Sonar

Chapter Contents (Back)
ATR. Sonar. Sensors:
See also Acoustic, Sonar Sensors for Range, Underwater Acoustic Sensing.

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Roitblat, H.L., Au, W.W.L., Nachtigall, P.E., Shizumura, R., Moons, G.,
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Automatic mine detection by textural analysis of COTS sidescan sonar imagery,
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Murino, V.[Vittorio],
Reconstruction and segmentation of underwater acoustic images combining confidence information in MRF models,
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Ayrulu, B.[Birsel], Barshan, B.[Billur],
Reliability measure assignment to sonar for robust target differentiation,
PR(35), No. 6, June 2002, pp. 1403-1419.
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Barshan, B.[Billur], Ayrulu, B.[Birsel],
Comparative analysis of different approaches to target differentiation and localization with sonar,
PR(36), No. 5, May 2003, pp. 1213-1231.
Elsevier DOI 0301
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Trucco, A., Curletto, S.,
Extraction of 3-D information from sonar image sequences,
SMC-B(33), No. 4, August 2003, pp. 687-699.
IEEE Abstract. 0308
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Barshan, B.[Billur], Ayrulu, B.[Birsel],
Fuzzy clustering and enumeration of target type based on sonar returns,
PR(37), No. 2, February 2004, pp. 189-199.
Elsevier DOI 0311
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Marot, J., Bourennane, S.,
Phase Distortion Estimation by DIRECT and Spline Interpolation Algorithms,
SPLetters(14), No. 7, July 2007, pp. 461-464.
IEEE DOI 0707
Address performance of sonar data.
See also Subspace-Based and DIRECT Algorithms for Distorted Circular Contour Estimation. BibRef

Karoui, I., Fablet, R., Boucher, J.M., Augustin, J.M.,
Seabed Segmentation Using Optimized Statistics of Sonar Textures,
GeoRS(47), No. 6, June 2009, pp. 1621-1631.
IEEE DOI 0905
BibRef
Earlier: A1, A3, A2, A4:
Multiscale segmentation of textured sonar images using cooccurence statistics,
ICIP04(III: 1691-1694).
IEEE DOI 0505

See also Combining image-level and object-level inference for weakly supervised object recognition. Application to fisheries acoustics. BibRef

Karoui, I., Fablet, R., Boucher, J.M., Augustin, J.M.,
Variational Region-Based Segmentation Using Multiple Texture Statistics,
IP(19), No. 12, December 2010, pp. 3146-3156.
IEEE DOI 1011
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Aguirre, F., Boucher, J.M., Jacq, J.J.,
Underwater navigation by video sequence analysis,
ICPR90(II: 537-539).
IEEE DOI 9008
BibRef

Tao, W.L.[Wei-Liang], Liu, Y.[Yan],
Edge preserving filter of side scan sonar images with wavelet modulus maxima shift-correlative technique,
IJIST(21), No. 4, December 2011, pp. 349-355.
DOI Link 1112
BibRef

Tao, W.L.[Wei-Liang], Liu, Y.[Yan],
Combined imaging matching method of side scan sonar images with prior position knowledge,
IET-IPR(12), No. 2, February 2018, pp. 194-199.
DOI Link 1801
BibRef

Nguyen, H.G., Fablet, R., Ehrhold, A., Boucher, J.M.,
Keypoint-Based Analysis of Sonar Images: Application to Seabed Recognition,
GeoRS(50), No. 4, April 2012, pp. 1171-1184.
IEEE DOI 1204
BibRef

Zhao, J.H.[Jian-Hu], Wang, A.X.[Ai-Xue], Zhang, H.M.[Hong-Mei], Wang, X.[Xiao],
Mosaic method of side-scan sonar strip images using corresponding features,
IET-IPR(7), No. 6, August 2013, pp. 616-623.
DOI Link 1312
geophysical image processing BibRef

Kolouri, S., Azimi-Sadjadi, M.R., Ziemann, A.,
Acoustic Tomography of the Atmosphere Using Unscented Kalman Filter,
GeoRS(52), No. 4, April 2014, pp. 2159-2171.
IEEE DOI 1403
Brownian motion BibRef

Baker, C.J., Smith, G.E., Balleri, A., Holderied, M., Griffiths, H.D.,
Biomimetic Echolocation With Application to Radar and Sonar Sensing,
PIEEE(102), No. 4, April 2014, pp. 447-458.
IEEE DOI 1405
bioacoustics BibRef

Williams, D.P., Fakiris, E.,
Exploiting Environmental Information for Improved Underwater Target Classification in Sonar Imagery,
GeoRS(52), No. 10, October 2014, pp. 6284-6297.
IEEE DOI 1407
Context
See also Fast Unsupervised Seafloor Characterization in Sonar Imagery Using Lacunarity. BibRef

Seok, J.W.[Jong-Won], Bae, K.S.[Keun-Sung],
Target Classification Using Features Based on Fractional Fourier Transform,
IEICE(E97-D), No. 9, September 2014, pp. 2518-2521.
WWW Link. 1410
Active sonar returns. BibRef

Polydorides, N., Delbary, F.,
Marine Electrical Sensing for Detecting Small Inhomogeneities,
GeoRS(53), No. 2, February 2015, pp. 988-1000.
IEEE DOI 1411
towed electrical sensing. approximation theory BibRef

Karoui, I., Quidu, I., Legris, M.,
Automatic Sea-Surface Obstacle Detection and Tracking in Forward-Looking Sonar Image Sequences,
GeoRS(53), No. 8, August 2015, pp. 4661-4669.
IEEE DOI 1506
BibRef
And: Corrections: GeoRS(53), No. 11, November 2015, pp. 6315-6315.
IEEE DOI 1509
Acoustics; Image sequences; Remote sensing; Sonar detection. Acoustic beams BibRef

Saucan, A., Sintes, C., Chonavel, T., Le Caillec, J.,
Model-Based Adaptive 3D Sonar Reconstruction in Reverberating Environments,
IP(24), No. 10, October 2015, pp. 2928-2940.
IEEE DOI 1507
Adaptation models BibRef

Park, C.[Cheolsoo], Kim, G.D.[Gun-Do], Park, Y.H.[Young-Ha], Lee, K.[Keunhwa], Seong, W.[Woojae],
Noise Localization Method for Model Tests in a Large Cavitation Tunnel Using a Hydrophone Array,
RS(8), No. 3, 2016, pp. 195.
DOI Link 1604
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Alqadah, H.F.,
A Compressive Multi-Frequency Linear Sampling Method for Underwater Acoustic Imaging,
IP(25), No. 6, June 2016, pp. 2444-2455.
IEEE DOI 1605
acoustic imaging BibRef

Fakiris, E.[Elias], Papatheodorou, G.[George], Geraga, M.[Maria], Ferentinos, G.[George],
An Automatic Target Detection Algorithm for Swath Sonar Backscatter Imagery, Using Image Texture and Independent Component Analysis,
RS(8), No. 5, 2016, pp. 373.
DOI Link 1606
BibRef

Yang, L., Yang, L., Ho, K.C.,
Moving Target Localization in Multistatic Sonar by Differential Delays and Doppler Shifts,
SPLetters(23), No. 9, September 2016, pp. 1160-1164.
IEEE DOI 1609
Doppler effect BibRef

Yi, D.H.[Dong Hoon], Makris, N.C.[Nicholas C.],
Feasibility of Acoustic Remote Sensing of Large Herring Shoals and Seafloor by Baleen Whales,
RS(8), No. 9, 2016, pp. 693.
DOI Link 1610
BibRef

Jain, A.D.[Ankita D.], Makris, N.C.[Nicholas C.],
Maximum Likelihood Deconvolution of Beamformed Images with Signal-Dependent Speckle Fluctuations from Gaussian Random Fields: With Application to Ocean Acoustic Waveguide Remote Sensing (OAWRS),
RS(8), No. 9, 2016, pp. 694.
DOI Link 1610
BibRef

Wang, Q.[Qiang], Zeng, X.Y.[Xiang-Yang], Wang, L.[Lu], Wang, H.T.[Hai-Tao], Cai, H.Z.[Huai-Zhen],
Passive Moving Target Classification Via Spectra Multiplication Method,
SPLetters(24), No. 4, April 2017, pp. 451-455.
IEEE DOI 1704
IIR filters BibRef

Zhang, X., Huang, H., Ying, W., Wang, H., Xiao, J.,
An Indirect Range-Doppler Algorithm for Multireceiver Synthetic Aperture Sonar Based on Lagrange Inversion Theorem,
GeoRS(55), No. 6, June 2017, pp. 3572-3587.
IEEE DOI 1706
Approximation algorithms, Azimuth, Imaging, Receivers, Synthetic aperture sonar, Transmitters, Imaging algorithm, Lagrange inversion theorem, multireceiver, phase error, subblock, synthetic aperture sonar (SAS), transfer, function BibRef

Huang, W.[Wei], Wang, D.[Delin], Garcia, H.[Heriberto], Godø, O.R.[Olav Rune], Ratilal, P.[Purnima],
Continental Shelf-Scale Passive Acoustic Detection and Characterization of Diesel-Electric Ships Using a Coherent Hydrophone Array,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

McKay, J., Monga, V., Raj, R.G.,
Robust Sonar ATR Through Bayesian Pose-Corrected Sparse Classification,
GeoRS(55), No. 10, October 2017, pp. 5563-5576.
IEEE DOI 1710
Bayes methods, feature extraction, image reconstruction, object recognition, pose estimation, sonar imaging, statistical distributions, BibRef

Wang, D.[Delin], Ratilal, P.[Purnima],
Angular Resolution Enhancement Provided by Nonuniformly-Spaced Linear Hydrophone Arrays in Ocean Acoustic Waveguide Remote Sensing,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Zhang, W.J.[Wen-Jun], Liu, Y.M.[Yu-Ming], Ratilal, P.[Purnima], Cho, B.G.[Byung-Gu], Makris, N.C.[Nicholas C.],
Active Nonlinear Acoustic Sensing of an Object with Sum or Difference Frequency Fields,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Wang, X.[Xiao], Zhao, J.H.[Jian-Hu], Zhu, B.Y.[Bang-Yan], Jiang, T.C.[Ting-Chen], Qin, T.T.[Tian-Tian],
A Side Scan Sonar Image Target Detection Algorithm Based on a Neutrosophic Set and Diffusion Maps,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Choo, Y.M.[Young-Min], Seong, W.[Woojae],
Compressive Sound Speed Profile Inversion Using Beamforming Results,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
Acoustic propogation in the ocean. BibRef

Skarsoulis, E.K.[Emmanuel K.], Piperakis, G.[George], Kalogerakis, M.[Michael], Orfanakis, E.[Emmanuel], Papadakis, P.[Panagiotis], Dosso, S.E.[Stan. E.], Frantzis, A.[Alexandros],
Underwater Acoustic Pulsed Source Localization with a Pair of Hydrophones,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Pavlidi, D.[Despoina], Skarsoulis, E.K.[Emmanuel K.],
Enhanced Pulsed-Source Localization with 3 Hydrophones: Uncertainty Estimates,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Lee, H., Jung, H., Cho, S., Kim, Y., Rim, H., Lee, S.K.,
Real-Time Localization for Underwater Moving Object Using Precalculated DC Electric Field Template,
GeoRS(56), No. 10, October 2018, pp. 5813-5823.
IEEE DOI 1810
Real-time systems, Numerical models, Data models, Electric variables measurement, Acoustics, Sea measurements, underwater object detection BibRef

Park, J.[Jaihyun], Ku, B.[Bonhwa], Jin, Y.[Youngsaeng], Ko, H.S.[Han-Seok],
Side Scan Sonar Image Super Resolution via Region-Selective Sparse Coding,
IEICE(E102-D), No. 1, January 2019, pp. 210-213.
WWW Link. 1901
BibRef

Zhu, B.Y.[Bang-Yan], Wang, X.[Xiao], Chu, Z.W.[Zheng-Wei], Yang, Y.[Yi], Shi, J.[Juan],
Active Learning for Recognition of Shipwreck Target in Side-Scan Sonar Image,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Zhang, X.B.[Xue-Bo], Tan, C.[Cheng], Ying, W.W.[Wen-Wei],
An Imaging Algorithm for Multireceiver Synthetic Aperture Sonar,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Fakiris, E.[Elias], Blondel, P.[Philippe], Papatheodorou, G.[George], Christodoulou, D.[Dimitris], Dimas, X.[Xenophon], Georgiou, N.[Nikos], Kordella, S.[Stavroula], Dimitriadis, C.[Charalampos], Rzhanov, Y.[Yuri], Geraga, M.[Maria], Ferentinos, G.[George],
Multi-Frequency, Multi-Sonar Mapping of Shallow Habitats: Efficacy and Management Implications in the National Marine Park of Zakynthos, Greece,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wang, X.M.[Xing-Mei], Li, Q.M.[Qi-Ming], Yin, J.W.[Jing-Wei], Han, X.[Xiao], Hao, W.Q.[Wen-Qian],
An Adaptive Denoising and Detection Approach for Underwater Sonar Image,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Brandes, T.S., Ballard, B.,
Adaptive Seabed Characterization With Hierarchical Bayesian Modeling of SAS Imagery,
GeoRS(57), No. 3, March 2019, pp. 1278-1290.
IEEE DOI 1903
geophysical image processing, image texture, object detection, oceanographic techniques, seafloor phenomena, sonar imaging, seafloor characterization BibRef

Zou, B.[Bo], Zhai, J.S.[Jing-Sheng], Qi, Z.F.[Zhan-Feng], Li, Z.X.[Zhao-Xing],
A Comparison of Three Sediment Acoustic Models Using Bayesian Inversion and Model Selection Techniques,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Yan, J.[Jing], Zhao, H.Y.[Hai-Yan], Wang, Y.Y.[Yi-Yin], Luo, X.Y.[Xiao-Yuan], Guan, X.P.[Xin-Ping],
Asynchronous Localization for UASNs: An Unscented Transform-Based Method,
SPLetters(26), No. 4, April 2019, pp. 602-606.
IEEE DOI 1903
Underwater acoustic networks. Transforms, Jacobian matrices, Clocks, Covariance matrices, Estimation, Signal processing algorithms, Computational modeling, unscented transform BibRef

Xiao, Z.L.[Zhao-Lin], Zhang, M.[Meng], Chen, L.S.[Li-Sheng], Jin, H.Y.[Hai-Yan],
Detection and segmentation of underwater CW-like signals in spectrum image under strong noise background,
JVCIR(60), 2019, pp. 287-294.
Elsevier DOI 1903
Continuous wave-like signal. CW-like signal, Signal spectrum analysis, Gaussian mixture model, Clustering analysis, Signal detection BibRef

Zhuang, M., Zhan, Q., Zhou, J., Liu, N., Liu, Q.H.,
Incorporating Full Attenuation Mechanisms of Poroelastic Media for Realistic Subsurface Sensing,
GeoRS(57), No. 4, April 2019, pp. 2087-2096.
IEEE DOI 1904
acoustic wave scattering, finite difference time-domain analysis, remote sensing, viscodynamics BibRef

Ye, X.F.[Xiu-Fen], Yang, H.B.[Hai-Bo], Li, C.L.[Chuan-Long], Jia, Y.P.[Yun-Peng], Li, P.[Peng],
A Gray Scale Correction Method for Side-Scan Sonar Images Based on Retinex,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Tan, Q., Wang, Y., Ma, X.,
Preamble Detection Based on Cyclic Features of Zadoff-Chu Sequences for Underwater Acoustic Communications,
SPLetters(26), No. 8, August 2019, pp. 1192-1196.
IEEE DOI 1908
cyclic codes, Doppler effect, interference, multipath channels, sequences, signal detection, underwater acoustic communication, underwater acoustic communications BibRef

Williams, D.P.,
A Novel Framework for Evaluating Performance-Estimation Models,
GeoRS(57), No. 8, August 2019, pp. 5285-5302.
IEEE DOI 1908
geophysical image processing, hydrological techniques, object detection, object recognition, probability, synthetic aperture sonar (SAS) BibRef

Wang, X.M.[Xing-Mei], Liu, A.[Anhua], Zhang, Y.[Yu], Xue, F.Z.[Fu-Zhao],
Underwater Acoustic Target Recognition: A Combination of Multi-Dimensional Fusion Features and Modified Deep Neural Network,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Abu, A., Diamant, R.,
Enhanced Fuzzy-Based Local Information Algorithm for Sonar Image Segmentation,
IP(29), No. 1, 2020, pp. 445-460.
IEEE DOI 1910
fuzzy logic, image denoising, image segmentation, sonar imaging, synthetic aperture sonar, intensity inhomogeneity BibRef

Stateczny, A.[Andrzej], Blaszczak-Bak, W.[Wioleta], Sobieraj-Zlobinska, A.[Anna], Motyl, W.[Weronika], Wisniewska, M.[Marta],
Methodology for Processing of 3D Multibeam Sonar Big Data for Comparative Navigation,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
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Duane, D.[Daniel], Cho, B.G.[Byung-Gu], Jain, A.D.[Ankita D.], Godø, O.R.[Olav Rune], Makris, N.C.[Nicholas C.],
The Effect of Attenuation from Fish Shoals on Long-Range, Wide-Area Acoustic Sensing in the Ocean,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Wei, B.[Bo], Li, H.[Haisen], Zhou, T.[Tian], Xing, S.[Siyu],
Obtaining 3D High-Resolution Underwater Acoustic Images by Synthesizing Virtual Aperture on the 2D Transducer Array of Multibeam Echo Sounder,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Li, H., Yang, K., Duan, R.,
Robust Multipath Time-Delay Estimation of Broadband Source Using a Vertical Line Array in Deep Water,
SPLetters(27), 2020, pp. 51-55.
IEEE DOI 2001
Sonar equipment, Estimation, Signal processing algorithms, Correlation, Noise measurement, Acoustics, Delays, multipath time-delay BibRef

Gaida, T.C.[Timo C.], Mohammadloo, T.H.[Tannaz H.], Snellen, M.[Mirjam], Simons, D.G.[Dick G.],
Mapping the Seabed and Shallow Subsurface with Multi-Frequency Multibeam Echosounders,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
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Misiuk, B.[Benjamin], Brown, C.J.[Craig J.], Robert, K.[Katleen], Lacharité, M.[Myriam],
Harmonizing Multi-Source Sonar Backscatter Datasets for Seabed Mapping Using Bulk Shift Approaches,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
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Grzadziel, A.[Artur],
Results from Developments in the Use of a Scanning Sonar to Support Diving Operations from a Rescue Ship,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
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Zhang, Y., Zhu, X., Gao, J.,
Parameter Estimation of Acoustic Wave Equations Using Hidden Physics Models,
GeoRS(58), No. 7, July 2020, pp. 4629-4639.
IEEE DOI 2006
Mathematical model, Acoustic waves, Ground penetrating radar, Adaptation models, Data models, Numerical models, Data-driven, state variables estimation BibRef

Feldens, P.[Peter],
Super Resolution by Deep Learning Improves Boulder Detection in Side Scan Sonar Backscatter Mosaics,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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Li, S.B.[Shao-Bo], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Bi, Z.J.[Zi-Jun], Qu, S.H.[Si-Heng],
A Non-Local Low-Rank Algorithm for Sub-Bottom Profile Sonar Image Denoising,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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Tang, Z.J.[Zhi-Jie], Ma, G.[Gaoqian], Lu, J.Q.[Jia-Qi], Wang, Z.[Zhen], Fu, B.[Bin], Wang, Y.J.[Yi-Jie],
Sonar image mosaic based on a new feature matching method,
IET-IPR(14), No. 10, August 2020, pp. 2149-2155.
DOI Link 2008
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Xu, Y.C.[Yi-Chao], Wang, X.M.[Xing-Mei], Wang, K.H.[Kun-Hua], Shi, J.H.[Jia-Hao], Sun, W.[Wei],
Underwater sonar image classification using generative adversarial network and convolutional neural network,
IET-IPR(14), No. 12, October 2020, pp. 2819-2825.
DOI Link 2010
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Li, S.B.[Shao-Bo], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Bi, Z.J.[Zi-Jun], Qu, S.H.[Si-Heng],
A Novel Horizon Picking Method on Sub-Bottom Profiler Sonar Images,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Li, S.B.[Shao-Bo], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Qu, S.H.[Si-Heng],
An Integrated Horizon Picking Method for Obtaining the Main and Detailed Reflectors on Sub-Bottom Profiler Sonar Image,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
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Kim, Y.[Youngseok], Ryou, J.[Jaesuk],
A Study of Sonar Image Stabilization of Unmanned Surface Vehicle Based on Motion Sensor for Inspection of Underwater Infrastructure,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Zhu, C.Y.[Chen-Yang], Seri, S.G.[Sai Geetha], Mohebbi-Kalkhoran, H.[Hamed], Ratilal, P.[Purnima],
Long-Range Automatic Detection, Acoustic Signature Characterization and Bearing-Time Estimation of Multiple Ships with Coherent Hydrophone Array,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Yuan, F.[Fei], Xiao, F.Q.[Feng-Qi], Zhang, K.H.[Kai-Han], Huang, Y.F.[Yi-Fan], Cheng, E.[En],
Noise reduction for sonar images by statistical analysis and fields of experts,
JVCIR(74), 2021, pp. 102995.
Elsevier DOI 2101
Sonar image, Denoising, Gamma distribution, Fields of Experts BibRef

Grøn, O.[Ole], Boldreel, L.O.[Lars Ole], Smith, M.F.[Morgan F.], Joy, S.[Shawn], Boumda, R.T.[Rostand Tayong], Mäder, A.[Andreas], Bleicher, N.[Niels], Madsen, B.[Bo], Cvikel, D.[Deborah], Nilsson, B.[Björn], Sjöström, A.[Arne], Galili, E.[Ehud], Nørmark, E.[Egon], Hu, C.Q.[Chang-Qing], Ren, Q.[Qunyan], Blondel, P.[Philippe], Gao, X.[Xing], Stråkendal, P.[Petra], Dell'Anno, A.[Antonio],
Acoustic Mapping of Submerged Stone Age Sites: A HALD Approach,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Kazimierski, W.[Witold], Zaniewicz, G.[Grzegorz],
Determination of Process Noise for Underwater Target Tracking with Forward Looking Sonar,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
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Yan, J.[Jun], Meng, J.X.[Jun-Xia], Zhao, J.H.[Jian-Hu],
Bottom Detection from Backscatter Data of Conventional Side Scan Sonars through 1D-UNet,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
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Satheesh, C., Kamal, S.[Suraj], Mujeeb, A., Supriya, M.H.,
Passive Sonar Target Classification Using Deep Generative beta-VAE,
SPLetters(28), 2021, pp. 808-812.
IEEE DOI 2105
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Character, L.[Leila], JR, A.O.[Agustin Ortiz], Beach, T.[Tim], Luzzadder-Beach, S.[Sheryl],
Archaeologic Machine Learning for Shipwreck Detection Using Lidar and Sonar,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
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Wu, Q.S.[Qi-Song], Zhang, H.[Hao], Lai, Z.C.[Zhi-Chao], Xu, Y.H.[You-Hai], Yao, S.[Shuai], Tao, J.[Jun],
An Enhanced Data-Driven Array Shape Estimation Method Using Passive Underwater Acoustic Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
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Wu, Q.S.[Qi-Song], Xu, Y.H.[You-Hai],
A Nonlinear Data-Driven Towed Array Shape Estimation Method Using Passive Underwater Acoustic Data,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
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Zheng, G.[Gen], Zhang, H.M.[Hong-Mei], Li, Y.Q.[Yu-Qing], Zhao, J.H.[Jian-Hu],
A Universal Automatic Bottom Tracking Method of Side Scan Sonar Data Based on Semantic Segmentation,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Choi, H.M.[Ha-Min], Yang, H.S.[Hae-Sang], Seong, W.J.[Woo-Jae],
Compressive Underwater Sonar Imaging with Synthetic Aperture Processing,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Sun, S.[Sibo], Qin, S.S.[Sha-Sha], Hao, Y.[Yu], Zhang, G.P.[Guang-Pu], Zhao, C.H.[Chun-Hui],
Underwater Acoustic Localization of the Black Box Based on Generalized Second-Order Time Difference of Arrival (GSTDOA),
GeoRS(59), No. 9, September 2021, pp. 7245-7255.
IEEE DOI 2109
Marine vehicles, Underwater acoustics, Direction-of-arrival estimation, Time difference of arrival, underwater acoustic localization (UWAL) BibRef

Yu, Y.C.[Yong-Can], Zhao, J.H.[Jian-Hu], Gong, Q.H.[Quan-Hua], Huang, C.[Chao], Zheng, G.[Gen], Ma, J.Y.[Jin-Ye],
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
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Zhu, C.Q.[Chuan-Qi], Fang, S.L.[Shi-Liang], Wu, Q.S.[Qi-Song], An, L.[Liang], Luo, X.W.[Xin-Wei], Cao, H.L.[Hong-Li],
A Time-Frequency Joint Time-Delay Difference Estimation Method for Signal Enhancement in the Distorted towed Hydrophone Array,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Carro, B.M.[Berta M.], Reyes, A.[Alejandro], Morales, J.A.[Juan A.], Borrego, J.[José],
Application of the Comparison of Multibeam Echo-Sound Records to the Study of Stability of a Toxic Waste Stockpile Located on the Margin of a Tidal System: Tinto Estuary, Huelva, SW Spain,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Trzcinska, K.[Karolina], Tegowski, J.[Jaroslaw], Pocwiardowski, P.[Pawel], Janowski, L.[Lukasz], Zdroik, J.[Jakub], Kruss, A.[Aleksandra], Rucinska, M.[Maria], Lubniewski, Z.[Zbigniew], von Deimling, J.S.[Jens Schneider],
Measurement of Seafloor Acoustic Backscatter Angular Dependence at 150 kHz Using a Multibeam Echosounder,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Li, S.B.[Shao-Bo], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Qu, S.H.[Si-Heng],
Sub-Bottom Sediment Classification Using Reliable Instantaneous Frequency Calculation and Relaxation Time Estimation,
RS(13), No. 23, 2021, pp. xx-yy.
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Gerg, I.D.[Isaac D.], Monga, V.[Vishal],
Structural Prior Driven Regularized Deep Learning for Sonar Image Classification,
GeoRS(60), 2022, pp. 1-16.
IEEE DOI 2112
Synthetic aperture sonar, Deep learning, Task analysis, Training, Training data, Image enhancement, Linear programming, synthetic aperture sonar (SAS) BibRef

Zhang, X.[Xuebo], Yang, P.X.[Pei-Xuan],
An Improved Imaging Algorithm for Multi-Receiver SAS System with Wide-Bandwidth Signal,
RS(13), No. 24, 2021, pp. xx-yy.
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synthetic aperture sonar. BibRef

Cheng, Z.[Zhen], Huo, G.Y.[Guan-Ying], Li, H.[Haisen],
A Multi-Domain Collaborative Transfer Learning Method with Multi-Scale Repeated Attention Mechanism for Underwater Side-Scan Sonar Image Classification,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
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Huang, Z.[Zihao], Li, S.[Shuang], Yang, X.H.[Xing-Hai], Wang, J.J.[Jing-Jing],
OAE-EEKNN: An Accurate and Efficient Automatic Modulation Recognition Method for Underwater Acoustic Signals,
SPLetters(29), 2022, pp. 518-522.
IEEE DOI 2202
Feature extraction, Modulation, Entropy, Encoding, Underwater acoustics, Decoding, Training, EEKNN BibRef

Chen, W.L.[Wei-Ling], Lin, R.[Rongfu], Zhang, R.X.[Rong-Xin], Zhu, Y.[Yi],
A blind contour-aware quality model for sonar images,
IET-IPR(16), No. 4, 2022, pp. 1017-1026.
DOI Link 2203
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Zhang, H.Q.[Hui-Qing], Li, S.[Shuo], Li, D.H.[Dong-Hao], Wang, Z.C.[Zi-Chen], Zhou, Q.X.[Qi-Xiang], You, Q.X.[Qi-Xin],
Sonar image quality evaluation using deep neural network,
IET-IPR(16), No. 4, 2022, pp. 992-999.
DOI Link 2203
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Wang, Y.Y.[Yi-Yin], Shi, Z.Y.[Zhen-Yu], Ma, X.L.[Xiao-Li], Liu, L.Y.[Ling-Ya],
A Joint Sonar-Communication System Based on Multicarrier Waveforms,
SPLetters(29), 2022, pp. 777-781.
IEEE DOI 2204
OFDM, Code division multiplexing, Detectors, Receivers, Sonar, Channel models, Fading channels, Multicarrier, OFDM, OCDM, detection BibRef

Zhang, Y.Z.[Yu-Zhi], Su, Y.[Yue], Shen, X.H.[Xiao-Hong], Wang, A.[Anyi], Wang, B.[Bin], Liu, Y.[Yang], Bai, W.G.[Wei-Gang],
Reinforcement Learning Based Relay Selection for Underwater Acoustic Cooperative Networks,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Zhang, Y.Z.[Yu-Zhi], Zhu, J.R.[Jing-Ru], Wang, H.Y.[Hai-Yan], Shen, X.H.[Xiao-Hong], Wang, B.[Bin], Dong, Y.[Yuan],
Deep Reinforcement Learning-Based Adaptive Modulation for Underwater Acoustic Communication with Outdated Channel State Information,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Fang, T.[Tao], Wang, Q.[Qian], Zhang, L.[Lanyue], Liu, S.[Songzuo],
Modulation Mode Recognition Method of Non-Cooperative Underwater Acoustic Communication Signal Based on Spectral Peak Feature Extraction and Random Forest,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Zheng, C.Y.[Cheng-Yu], Zhou, Y.[Yuan], Peng, X.L.[Xiu-Lian], Zhang, Y.[Yuan], Lu, Y.[Yan],
Time-Variance Aware Dynamic Kernel Generation for Real-Time Acoustic Echo Cancellation,
SPLetters(29), 2022, pp. 967-971.
IEEE DOI 2205
Kernel, Convolution, Microphones, Decoding, Delays, Adaptation models, Real-time systems, Acoustic echo cancellation, time-variance, deep neural network BibRef

Bryan, O.[Oscar], Hansen, R.E.[Roy Edgar], Haines, T.S.F.[Tom S. F.], Warakagoda, N.[Narada], Hunter, A.[Alan],
Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
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de Castro Vargas Fernandes, J.[Júlio], de Moura Junior, N.N.[Natanael Nunes], de Seixas, J.M.[José Manoel],
Deep Learning Models for Passive Sonar Signal Classification of Military Data,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Lu, Y.H.[Yin-Heng], Qiao, G.[Gang], Yang, C.[Chenlu], Zhao, Y.J.[Yun-Jiang], Yang, G.[Guang], Li, H.Z.[Hui-Zhe],
A Real-Time Digital Self Interference Cancellation Method for In-Band Full-Duplex Underwater Acoustic Communication Based on Improved VSS-LMS Algorithm,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Jiang, W.H.[Wei-Hua], Yang, X.Y.[Xiao-Yu], Tong, F.[Feng], Yang, Y.J.[Yi-Jun], Zhou, T.H.[Tian-Hua],
A Low-Complexity Underwater Acoustic Coherent Communication System for Small AUV,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Lewicka, O.[Oktawia], Specht, M.[Mariusz], Stateczny, A.[Andrzej], Specht, C.[Cezary], Dyrcz, C.[Czeslaw], Dabrowski, P.[Pawel], Szostak, B.[Bartosz], Halicki, A.[Armin], Stateczny, M.[Marcin], Widzgowski, S.[Szymon],
Analysis of Transformation Methods of Hydroacoustic and Optoelectronic Data Based on the Tombolo Measurement Campaign in Sopot,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Xu, L.[Liya], Huang, J.J.[Jian-Jun], Zhang, H.[Hao], Liao, B.[Bin],
Direction of Arrival Estimation of Acoustic Sources with Unmanned Underwater Vehicle Swarm via Matrix Completion,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Ma, Y.X.[Yan-Xin], Liu, M.Q.[Meng-Qi], Zhang, Y.[Yi], Zhang, B.B.[Bing-Bing], Xu, K.[Ke], Zou, B.[Bo], Huang, Z.J.[Zhi-Jian],
Imbalanced Underwater Acoustic Target Recognition with Trigonometric Loss and Attention Mechanism Convolutional Network,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Blanken, N.[Nathan], Wolterink, J.M.[Jelmer M.], Delingette, H.[Hervé], Brune, C.[Christoph], Versluis, M.[Michel], Lajoinie, G.[Guillaume],
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning,
MedImg(41), No. 9, September 2022, pp. 2532-2542.
IEEE DOI 2209
Ultrasonic imaging, Transducers, RF signals, Superresolution, Location awareness, Acoustics, Radio frequency, super-resolution ultrasound BibRef

Jing, L.Y.[Lian-You], Tang, Y.Q.[Yong-Qi], He, C.B.[Cheng-Bing], Yin, H.X.[Hong-Xi],
Adaptive Packet Coding for Reliable Underwater Acoustic Communications,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Jing, L.Y.[Lian-You], Dong, C.F.[Chao-Fan], He, C.B.[Cheng-Bing], Shi, W.T.[Wen-Tao], Yin, H.X.[Hong-Xi],
Adaptive Modulation and Coding for Underwater Acoustic Communications Based on Data-Driven Learning Algorithm,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Khobotov, A.G.[Alexander Gennadievich], Kalinina, V.I.[Vera Igorevna], Khil'ko, A.I.[Alexander Ivanovich], Malekhanov, A.I.[Alexander Igorevich],
Novel Neuron-like Procedure of Weak Signal Detection against the Non-Stationary Noise Background with Application to Underwater Sound,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Li, Y.Z.[Yuan-Zi], Ye, X.F.[Xiu-Fen], Zhang, W.Z.[Wei-Zheng],
TransYOLO: High-Performance Object Detector for Forward Looking Sonar Images,
SPLetters(29), 2022, pp. 2098-2102.
IEEE DOI 2211
Fuzzy logic, Detectors, Transformers, Feature extraction, Estimation, Object detection, Location awareness, Feature fusion network, anchor-free BibRef

Sun, Y.S.[Yu-Shan], Zheng, H.T.[Hao-Tian], Zhang, G.C.[Guo-Cheng], Ren, J.F.[Jing-Fei], Xu, H.[Hao], Xu, C.[Chao],
DP-ViT: A Dual-Path Vision Transformer for Real-Time Sonar Target Detection,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wu, F.Y.[Fei-Yun], Tian, T.[Tian], Su, B.X.[Ben-Xue], Song, Y.C.[Yan-Chong],
Hadamard-Viterbi Joint Soft Decoding for MFSK Underwater Acoustic Communications,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wang, H.[Hui], Huang, Y.[Yao], Luo, F.[Fang], Yang, L.[Liejun],
Multi-Node Joint Power Allocation Algorithm Based on Hierarchical Game Learning in Underwater Acoustic Sensor Networks,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Xi, J.[Jier], Ye, X.F.[Xiu-Fen], Li, C.L.[Chuan-Long],
Sonar Image Target Detection Based on Style Transfer Learning and Random Shape of Noise under Zero Shot Target,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Li, Z.Y.[Zi-Yang], Piao, S.C.[Sheng-Chun], Zhang, M.H.[Ming-Hui], Gong, L.J.[Li-Jia],
Influence of Range-Dependent Sound Speed Profile on Position of Convergence Zones,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Dwivedi, P.[Priyadarshini], Routray, G.[Gyanajyoti], Hegde, R.M.[Rajesh M.],
Learning based method for near field acoustic range estimation in spherical harmonics domain using intensity vectors,
PRL(165), 2023, pp. 17-24.
Elsevier DOI 2301
Spherical harmonics, Near-field, Range estimation, Spherical harmonics intensity BibRef

Li, J.[Jinrui], Chen, L.[Libin], Shen, J.[Jian], Xiao, X.W.[Xiong-Wu], Liu, X.S.[Xiao-Song], Sun, X.[Xin], Wang, X.[Xiao], Li, D.R.[De-Ren],
Improved Neural Network with Spatial Pyramid Pooling and Online Datasets Preprocessing for Underwater Target Detection Based on Side Scan Sonar Imagery,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Eleftherios, K.[Kaklamanis], Ratilal, P.[Purnima], Makris, N.C.[Nicholas C.],
Optimal Automatic Wide-Area Discrimination of Fish Shoals from Seafloor Geology with Multi-Spectral Ocean Acoustic Waveguide Remote Sensing in the Gulf of Maine,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Li, C.L.[Chuan-Long], Ye, X.[Xiufen], Xi, J.[Jier], Jia, Y.P.[Yun-Peng],
A Texture Feature Removal Network for Sonar Image Classification and Detection,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Du, X.[Xing], Sun, Y.F.[Yong-Fu], Song, Y.P.[Yu-Peng], Sun, H.F.[Hui-Feng], Yang, L.[Lei],
A Comparative Study of Different CNN Models and Transfer Learning Effect for Underwater Object Classification in Side-Scan Sonar Images,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Chen, L.[Liang], Huang, J.P.[Jian-Ping], Fu, L.Y.[Li-Yun], Peng, W.[Weiting], Song, C.[Cheng], Han, J.[Jiale],
A Compact High-Order Finite-Difference Method with Optimized Coefficients for 2D Acoustic Wave Equation,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Zhao, Z.X.[Zhen-Xing], Li, Q.[Qi], Xia, Z.[Zhi], Shang, D.[Dajing],
A Single-Hydrophone Coherent-Processing Method for Line-Spectrum Enhancement,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Ma, Q.X.[Qi-Xiang], Jiang, L.[Longyu], Yu, W.X.[Wen-Xue],
Lambertian-based adversarial attacks on deep-learning-based underwater side-scan sonar image classification,
PR(138), 2023, pp. 109363.
Elsevier DOI 2303
Adversarial attack, Classification, Side-scan sonar, Lambertian model BibRef

Shi, P.F.[Peng-Fei], Sun, H.R.[Huan-Ru], Xin, Y.X.[Yuan-Xue], He, Q.[Qi], Wang, X.T.[Xiao-Tian],
SDNet: Image-based sonar detection network for multi-scale objects,
IET-IPR(17), No. 4, 2023, pp. 1208-1223.
DOI Link 2303
sonar, object detection, feature extraction, convolutional neural nets, computer vision BibRef

Borrelli, M.[Mark], Legare, B.[Bryan], McCormack, B.[Bryan], Martins-dos Santos, P.P.G.[Pedro Paulo Guy], Solazzo, D.[Daniel],
Absolute Localization of Targets Using a Phase-Measuring Sidescan Sonar in Very Shallow Waters,
RS(15), No. 6, 2023, pp. 1626.
DOI Link 2304
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Yang, S.[Sidan], Liu, X.[Xuan], Su, Y.S.[Yi-Shan],
A Traffic-Aware Fair MAC Protocol for Layered Data Collection Oriented Underwater Acoustic Sensor Networks,
RS(15), No. 6, 2023, pp. 1501.
DOI Link 2304
BibRef

Caldeira, A., Coelho, R.,
EEMD-IF Based Method for Underwater Noisy Acoustic Signals Enhancement in Time-Domain,
SPLetters(30), 2023, pp. 294-298.
IEEE DOI 2304
Noise measurement, Chirp, Speech enhancement, Signal to noise ratio, Acoustic noise, Time-domain analysis, index of non-stationarity BibRef

Li, X.[Xinyan], Wang, D.P.[Dian-Peng], Tian, Y.[Yubin], Kong, X.S.[Xiang-Shun],
A method for extracting interference striations in lofargram based on decomposition and clustering,
IET-IPR(17), No. 6, 2023, pp. 1951-1958.
DOI Link 2305
Sound from ships, etc. image processing, sonar imaging, statistics BibRef

Buchan, S.J.[Susannah J.], Duran, M.[Miguel], Rojas, C.[Constanza], Wuth, J.[Jorge], Mahu, R.[Rodrigo], Stafford, K.M.[Kathleen M.], Yoma, N.B.[Nestor Becerra],
An HMM-DNN-Based System for the Detection and Classification of Low-Frequency Acoustic Signals from Baleen Whales, Earthquakes, and Air Guns off Chile,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Zeng, Y.M.[Yu-Ming], Shen, S.[Siyi], Xu, Z.W.[Zhi-Wei],
Water Surface Acoustic Wave Detection by a Millimeter Wave Radar,
RS(15), No. 16, 2023, pp. 4022.
DOI Link 2309
BibRef

Guo, H.X.[Hong-Xia], Hu, G.H.[Guang-Hui], Ma, G.Q.[Guan-Qiu],
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case,
SIIMS(16), No. 3, 2023, pp. 1535-1571.
DOI Link 2309
BibRef

Garnier, J.[Josselin], Haddar, H.[Houssem], Montanelli, H.[Hadrien],
The Linear Sampling Method for Random Sources,
SIIMS(16), No. 3, 2023, pp. 1572-1593.
DOI Link 2309
BibRef

Du, X.[Xing], Sun, Y.[Yongfu], Song, Y.P.[Yu-Peng], Dong, L.F.[Li-Feng], Zhao, X.L.[Xiao-Long],
Revealing the Potential of Deep Learning for Detecting Submarine Pipelines in Side-Scan Sonar Images: An Investigation of Pre-Training Datasets,
RS(15), No. 19, 2023, pp. 4873.
DOI Link 2310
BibRef

Wang, J.[Jian], Li, H.[Haisen], Dong, C.[Chao], Wang, J.[Jing], Zheng, B.[Bing], Xing, T.Y.[Tian-Yao],
An Underwater Side-Scan Sonar Transfer Recognition Method Based on Crossed Point-to-Point Second-Order Self-Attention Mechanism,
RS(15), No. 18, 2023, pp. 4517.
DOI Link 2310
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Duan, T.[Tong], Liang, H.[Hong], Dai, Z.[Zezhou], Yue, L.[Lei],
High-Resolution Wideband Waveform Design for Sonar Based on Multi-Parameter Modulation,
RS(15), No. 18, 2023, pp. 4603.
DOI Link 2310
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Zhao, B.[Boyu], Zhou, Q.[Qian], Huang, L.J.[Li-Jun], Zhang, Q.[Qiang],
Unpaired sonar image denoising with simultaneous contrastive learning,
CVIU(235), 2023, pp. 103783.
Elsevier DOI 2310
Image denoising, Sonar image, Unpaired learning, Contrastive learning BibRef

Liu, J.[Jia], Pang, Y.[Yan], Yan, L.[Lengleng], Zhu, H.[Hanhao],
An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution,
RS(15), No. 20, 2023, pp. 4908.
DOI Link 2310
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Zhou, X.[Xin], Tian, K.[Kun], Zhou, Z.[Zihan], Ning, B.[Bo], Wang, Y.[Yanhao],
SID-TGAN: A Transformer-Based Generative Adversarial Network for Sonar Image Despeckling,
RS(15), No. 20, 2023, pp. 5072.
DOI Link 2310
BibRef

Abu, A.[Avi], Diamant, R.[Roee],
Underwater object classification combining SAS and transferred optical-to-SAS Imagery,
PR(144), 2023, pp. 109868.
Elsevier DOI 2310
synthetic aperture sonar. Feature extraction, Shape descriptors, Self-similarity, Fourier descriptor, Region-based feature, Contour-based features BibRef

Zhao, S.[Shuang], Liu, H.M.[Hui-Min], Xue, S.Q.[Shu-Qiang], Wang, Z.J.[Zhen-Jie], Xiao, Z.[Zhen],
Two-Step Correction Based on In-Situ Sound Speed Measurements for USBL Precise Real-Time Positioning,
RS(15), No. 20, 2023, pp. 5046.
DOI Link 2310
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Feng, S.[Sheng], Zhu, X.Q.[Xiao-Qian], Ma, S.Q.[Shu-Qing], Lan, Q.[Qiang],
Adversarial Attacks in Underwater Acoustic Target Recognition with Deep Learning Models,
RS(15), No. 22, 2023, pp. 5386.
DOI Link 2311
BibRef

Park, S.[Sundong], Choi, Y.[Yoonyoung], Hwang, H.[Hyoseok],
SACuP: Sonar Image Augmentation with Cut and Paste Based DataBank for Semantic Segmentation,
RS(15), No. 21, 2023, pp. 5185.
DOI Link 2311
BibRef

Grzadziel, A.[Artur],
The Impact of Side-Scan Sonar Resolution and Acoustic Shadow Phenomenon on the Quality of Sonar Imagery and Data Interpretation Capabilities,
RS(15), No. 23, 2023, pp. 5599.
DOI Link 2312
BibRef

Huang, W.[Wei], Zhou, J.X.[Ji-Xuan], Gao, F.[Fan], Wang, J.T.[Jun-Ting], Xu, T.H.[Tian-He],
Experimental Results of Underwater Sound Speed Profile Inversion by Few-Shot Multi-Task Learning,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Yang, C.R.[Chao-Ran], Ling, Q.[Qing], Sheng, X.[Xueli], Mu, M.[Mengfei], Jakobsson, A.[Andreas],
Detecting Weak Underwater Targets Using Block Updating of Sparse and Structured Channel Impulse Responses,
RS(16), No. 3, 2024, pp. 476.
DOI Link 2402
BibRef

Meng, J.X.[Jun-Xia], Yan, J.[Jun], Zhang, Q.[Qinghe],
Anti-Interference Bottom Detection Method of Multibeam Echosounders Based on Deep Learning Models,
RS(16), No. 3, 2024, pp. 530.
DOI Link 2402
BibRef

Li, W.[Wenda], Wu, T.Q.[Tian-Qi], Liu, H.[Hong],
Multi-Scale Acoustic Velocity Inversion Based on a Convolutional Neural Network,
RS(16), No. 5, 2024, pp. 772.
DOI Link 2403
BibRef

Feng, X.[Xiao], Tian, T.[Tian], Zhou, M.Z.[Ming-Zhang], Sun, H.X.[Hai-Xin], Li, D.Z.[Ding-Zhao], Tian, F.[Feng], Lin, R.B.[Rong-Bin],
Sound Speed Inversion Based on Multi-Source Ocean Remote Sensing Observations and Machine Learning,
RS(16), No. 5, 2024, pp. 814.
DOI Link 2403
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Chakravarthula, P.[Praneeth], D'Souza, J.A.[Jim Aldon], Tseng, E.[Ethan], Bartusek, J.[Joe], Heide, F.[Felix],
Seeing With Sound: Long-Range Acoustic Beamforming for Multimodal Scene Understanding,
CVPR23(982-991)
IEEE DOI 2309
BibRef

Vohra, R.[Rhythm], Senjaliya, F.[Femina], Cote, M.[Melissa], Dash, A.[Amanda], Albu, A.B.[Alexandra Branzan], Chawarski, J.[Julek], Pearce, S.[Steve], Ersahin, K.[Kaan],
Detecting Underwater Discrete Scatterers in Echograms with Deep Learning-Based Semantic Segmentation,
PBVS23(375-384)
IEEE DOI 2309
BibRef

Ard, W.[William], Barbalata, C.[Corina],
Sonar Image Composition for Semantic Segmentation Using Machine Learning,
Maritime23(248-254)
IEEE DOI 2302
Computational modeling, Semantic segmentation, Conferences, Sonar applications, Merging, Machine learning BibRef

Preciado-Grijalva, A.[Alan], Wehbe, B.[Bilal], Firvida, M.B.[Miguel Bande], Valdenegro-Toro, M.[Matias],
Self-supervised Learning for Sonar Image Classification,
LXCV22(1498-1507)
IEEE DOI 2210
Transfer learning, Supervised learning, Noise reduction, Sonar, Self-supervised learning, Image representation BibRef

Berg, H.[Henrik], Hjelmervik, K.T.[Karl Thomas],
Deep Learning on Active Sonar Data Using Bayesian Optimization for Hyperparameter Tuning,
ICPR21(6546-6553)
IEEE DOI 2105
Training, Deep learning, Sonar, Bayes methods, Topology, Optimization, deep learning, hyperparameters, active sonar BibRef

Drioli, C., Giordano, G., Salvati, D., Blanchini, F., Foresti, G.L.,
Acoustic Target Tracking Through a Cluster of Mobile Agents,
Cyber(51), No. 5, May 2021, pp. 2587-2600.
IEEE DOI 2104
Target tracking, Robot sensing systems, Acoustics, Mobile agents, Microphones, Acoustic target tracking, microphone arrays, sparse sensor networks BibRef

Srinath, S.[Suhas], Rudresh, S.I.[Sun-Il], Seelamantula, C.S.[Chandra Sekhar], Hareesh, G., Krishna, P.M.[P. Murali],
Nyquist Pulses for Sub-Nyquist Sampling: Application to Underwater Imaging,
ICIP20(2965-2969)
IEEE DOI 2011
Kernel, Image reconstruction, Frequency-domain analysis, Imaging, Sonar, Noise robustness, Digital communication, Active sonar imaging BibRef

Gao, R.[Ruohan], Chen, C.[Changan], Al-Halah, Z.[Ziad], Schissler, C.[Carl], Grauman, K.[Kristen],
Visualechoes: Spatial Image Representation Learning Through Echolocation,
ECCV20(IX:658-676).
Springer DOI 2011
BibRef

Gao, Y., Chen, Y., Wang, F., He, Y.,
Recognition Method for Underwater Acoustic Target Based on DCGAN and DenseNet,
ICIVC20(215-221)
IEEE DOI 2009
Kernel, Underwater acoustics, Time-frequency analysis, Training, Target recognition, Machine learning, DenseNet BibRef

Ma, Q., Jiang, L., Yu, W., Jin, R., Wu, Z., Xu, F.,
Training with Noise Adversarial Network: A Generalization Method for Object Detection on Sonar Image,
WACV20(718-727)
IEEE DOI 2006
Sonar detection, Detectors, Perturbation methods, Training, Object detection, Task analysis BibRef

Lindell, D.B.[David B.], Wetzstein, G.[Gordon], Koltun, V.[Vladlen],
Acoustic Non-Line-Of-Sight Imaging,
CVPR19(6773-6782).
IEEE DOI 2002
BibRef

Febriawan, H.K., Helmholz, P., Parnum, I.M.,
Support Vector Machine and Decision Tree Based Classification Of Side-scan Sonar Mosaics Using Textural Features,
Semantics3D19(27-34).
DOI Link 1912
BibRef

Klausner, N.H., Azimi-Sadjadi, M.R.,
Performance Prediction of Multichannel Coherence Detector for Sonar Imagery,
ICIP19(3960-3964)
IEEE DOI 1910
Multichannel coherence detector, generalized likelihood ratio test (GLRT), Sonar Imagery BibRef

Zhang, Z.P.[Zhong-Ping], Wu, Y.[Yue], Zhou, Z.[Zheng], Lin, Y.Z.[You-Zuo],
VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks,
WACV19(705-714)
IEEE DOI 1904
geophysical image processing, geophysical techniques, inverse problems, learning (artificial intelligence), Kernel BibRef

Chen, W., Yuan, F., Cheng, E., Lin, W.,
Subjective and objective quality evaluation of sonar images for underwater acoustic transmission,
ICIP17(176-180)
IEEE DOI 1803
Acoustic distortion, Entropy, Indexes, Sonar measurements, Sonar image, database, human visual system, quality assessment, underwater acoustic transmission BibRef

Wang, W.W.[Wen-Wu], Cheng, B.B.[Bin-Bin], Chen, Y.[Yao],
A real-time object recognition for forward looking sonar,
ICIVC17(58-61)
IEEE DOI 1708
Feature extraction, Filtering algorithms, Image segmentation, Object detection, Object recognition, Sonar detection, correlation matching, forward looking sonar image, target detection, target-like, templet BibRef

Zhan, Q.W.[Qi-Wei], Ren, Q.A.[Qi-Ang], Sun, Q.T.[Qing-Tao], Chen, H.[Hua], Liu, Q.H.[Qing Huo],
Isotropic Riemann Solver for a Nonconformal Discontinuous Galerkin Pseudospectral Time-Domain Algorithm,
GeoRS(55), No. 3, March 2017, pp. 1254-1261.
IEEE DOI 1703
solve elastic-/acoustic-wave propagation problems. BibRef

Streeter, L., Scott, J., Lickfold, C.A., Cree, M.J.,
Design of a pseudo-holographic distributed time-of-flight sonar range-imaging system,
ICVNZ16(1-6)
IEEE DOI 1701
Holographic optical components BibRef

Moisan, E., Charbonnier, P., Foucher, P., Grussenmeyer, P., Guillemin, S., Samat, O., Pagès, C.,
Assessment Of A Static Multibeam Sonar Scanner For 3d Surveying In Confined Subaquatic Environments,
ISPRS16(B5: 541-548).
DOI Link 1610
BibRef

Williams, D.P.[David P.], Hunter, A.J.[Alan J.],
Multi-look processing of high-resolution SAS data for improved target detection performance,
ICIP15(153-157)
IEEE DOI 1512
Target detection SAS: synthetic aperture sonar. BibRef

Chu, N.[Ning], Mohammad-Djafari, A.[Ali], Picheral, J.[Jose],
A Bayesian Sparse Inference Approach in near-field wideband aeroacoustic imaging,
ICIP12(2529-2532).
IEEE DOI 1302
BibRef

Isaacs, J.C.[Jason C.],
Laplace-Beltrami eigenfunction metrics and geodesic shape distance features for shape matching in synthetic aperture sonar,
OTCBVS11(14-20).
IEEE DOI 1106
BibRef

Isaacs, J.C.[Jason C.], Tucker, J.D.[James D.],
Diffusion features for target specific recognition with synthetic aperture sonar raw signals and acoustic color,
OTCBVS11(27-32).
IEEE DOI 1106
BibRef

Liu, C.Y.[Cheng-Yuan], Liu, D.D.[Dan-Dan], Zhang, M.M.[Ming-Min], Chen, B.Z.[Bao-Zhu],
Simulation of backscattering sound from submarine based on 3D-imaging sidescan sonar,
IASP10(41-43).
IEEE DOI 1004
BibRef

Cheng, E.D.[Eric Dahai], Challa, S.[Subhash], Tang, X.C.[Xuan-Chen], Liu, X.H.[Xiao-Hu],
Non-cooperative Object Detection in Sea Using Acoustic Sensors,
DICTA10(294-301).
IEEE DOI 1012
BibRef

Cheng, G.L.[Guang-Li], Peng, S.[Shui], Zhang, M.M.[Ming-Min], Yang, L.[Li],
Echo-to-interference ratio of bistatic sonar in shallow water,
IASP10(691-694).
IEEE DOI 1004
BibRef

Sang, E.F.[En-Fang], Shen, Z.Y.[Zheng-Yan], Bian, H.Y.[Hong-Yu], Li, Y.S.[Yuan-Shou],
Sonar image denoising based on HMT model in morphological wavelet domain,
IASP10(214-218).
IEEE DOI 1004
BibRef

Zhang, H.[He], Wan, L.[Lei], Sun, Y.S.[Yu-Shan],
A New Approach to Underwater Target Recognition,
CISP09(1-5).
IEEE DOI 0910
BibRef

You, B.[Bo], Cai, Z.M.[Zhi-Ming],
Application Research of the Page Test in Active Sonar Detection,
CISP09(1-5).
IEEE DOI 0910
BibRef

Liao, G.H.[Guang-Hong], Yang, C.H.[Cheng-Hao], Zhu, X.H.[Xiao-Hua], Xu, X.H.[Xiao-Hua],
Truncated Total Least Squares Regularization Method for Ocean Acoustic Tomography Inverse Problem,
CISP09(1-5).
IEEE DOI 0910
BibRef

Gao, C.Z.[Cheng-Zhi], Zhuang, J.P.[Jia-Ping], Tai, L.D.[Lu-Dong],
Underwater Acoustic Channel Blind Identification Based on Matrix Outer-Product Decomposition Algorithm,
CISP09(1-4).
IEEE DOI 0910
BibRef

Liu, J.[Jia], Li, X.K.[Xiu-Kun], Ma, T.[Tao], Piao, S.C.[Sheng-Chun], Ren, Q.Y.[Qun-Yan],
An Improved Hilbert-Huang Transform and its Application in Underwater Acoustic Signal Detection,
CISP09(1-5).
IEEE DOI 0910
BibRef

Mei, J.D.[Ji-Dan], Wang, Y.L.[Yi-Lin], Zhou, W.[Wei], Hui, J.Y.[Jun-Ying],
Research on the Three-Dimensional Underwater Acoustic Image Measurement Technology Using Planar Array,
CISP09(1-3).
IEEE DOI 0910
BibRef

Zhang, J.[Jitang],
Research of Fuzzy Pattern Recognition on Ultrasonic Image Diagnoses of Multi-Layered Adhesive Structure in Solid Rocket Motor,
CISP09(1-5).
IEEE DOI 0910
BibRef

Fan, D.[Di], Cao, M.Y.[Mao-Yong], Sun, N.L.[Nong-Liang], Lv, C.Z.[Chang-Zhi], Zhao, Q.Z.[Qing-Zhu],
Locating the Ultrasonic Echo Head Wave of Bottom Sediment in Drilling Hole Based on Local SNR,
CISP09(1-4).
IEEE DOI 0910
BibRef

Xiao-Hua, Z.[Zhu], Hong, Z.[Zheng],
Design and Field Experiment of the Coastal Acoustic Tomography,
CISP09(1-5).
IEEE DOI 0910
BibRef

Zhou, S.[Sheng], Zhang, L.[Lin], Yang, P.[Peng],
Design of Chaotic Waveforms for Application to Active Sonar,
CISP09(1-5).
IEEE DOI 0910
BibRef

Zhang, T.D.[Tie-Dong], Wan, L.[Lei], Chen, Y.[Yan], Li, D.Q.[Dong-Qi],
Object Track in Underwater Sonar Images,
CISP09(1-4).
IEEE DOI 0910
BibRef

Yang, C.S.[Chang-Sheng], Liang, H.[Hong], Chen, H.[Hang], Ma, Y.[Yan],
Wideband Sonar Signal Design for Moving Target Parameter Estimation,
CISP09(1-3).
IEEE DOI 0910
BibRef

Kim, K.[Kio], Neretti, N.[Nicola], Intrator, N.[Nathan],
Video Enhancement for Underwater Exploration Using Forward Looking Sonar,
ACIVS06(554-563).
Springer DOI 0609
BibRef

Negahdaripour, S., Firoozfam, P., Sabzmeydani, P.,
On Processing and Registration of Forward-Scan Acoustic Video Imagery,
CRV05(452-459).
IEEE DOI 0505
BibRef

Loke, R.E., du Buf, J.M.H.,
Small CPU times and fast interactivity in sonar seabottom surveys,
3DPVT04(844-851).
IEEE DOI 0412
BibRef

Bozzano, R.[Roberto], Siccardi, A.[Antonio],
Underwater vegetation detection in high frequency sonar images: A preliminary approach,
CIAP97(II: 576-583).
Springer DOI 9709
BibRef

Pieroni, G.G.[Goffredo G.], Foresti, G.L.[Gian Luca], Murino, V.[Vittorio],
Integration of optical and acoustical imaging sensors for underwater applications,
CIAP97(II: 749-756).
Springer DOI 9709
BibRef

di Martino, J.C., Tabbone, S.A.[Salvatore A.],
Detection of Lofar lines,
CIAP95(709-714).
Springer DOI 9509
Find spectral lines in Sonar. BibRef

Tesei, A.[Alessandra], Trucco, A.[Andrea], Zambonini, D.[Daniele],
A fast object orientation estimation and recognition technique for underwater acoustic imaging,
CIAP95(715-720).
Springer DOI 9509
BibRef

Zerr, B., Stage, B.,
Three-dimensional reconstruction of underwater objects from a sequence of sonar images,
ICIP96(III: 927-930).
IEEE DOI 9610
BibRef

Ochieng-Ogolla, E.,
Space-time analysis and iterative focusing for synthetic aperture sonar,
ICIP96(III: 931-934).
IEEE DOI 9610
BibRef

Haley, T.B.,
Applying neural networks to automatic active sonar classification,
ICPR90(II: 41-44).
IEEE DOI 9208
BibRef

Chen, C.H.,
Neural networks for active sonar classification,
ICPR92(II:438-440).
IEEE DOI 9208
BibRef

Silkaitis, J.M., Douglas, B.L., Lee, H.,
A cascade algorithm for estimating and compensating motion error for synthetic aperture sonar imaging,
ICIP94(I: 905-909).
IEEE DOI 9411
BibRef

Silkaitis, J.M., Lee, H.,
Spectral segmentation and multiple frequency-band tomographic backward propagation technique for high-resolution sonar imaging,
ICIP95(II: 457-460).
IEEE DOI 9510
BibRef


Last update:Mar 16, 2024 at 20:36:19