23.8.8 ATR -- Sonar

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Zhu, C.Q.[Chuan-Qi], Fang, S.L.[Shi-Liang], Wu, Q.[Qisong], 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
BibRef

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
BibRef

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
BibRef

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.
DOI Link 2112
BibRef

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.
DOI Link 2112
synthetic aperture sonar. BibRef

Wu, Q.[Qisong], Xu, Y.[Youhai],
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
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.[Tianhua],
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
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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
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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
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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.
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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.
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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
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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
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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.
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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.
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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],
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RS(15), No. 6, 2023, pp. 1626.
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Yang, S.[Sidan], Liu, X.[Xuan], Su, Y.[Yishan],
A Traffic-Aware Fair MAC Protocol for Layered Data Collection Oriented Underwater Acoustic Sensor Networks,
RS(15), No. 6, 2023, pp. 1501.
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Caldeira, A., Coelho, R.,
EEMD-IF Based Method for Underwater Noisy Acoustic Signals Enhancement in Time-Domain,
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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,
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Sound from ships, etc. image processing, sonar imaging, statistics BibRef

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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,
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IEEE DOI 2104
Target tracking, Robot sensing systems, Acoustics, Mobile agents, Microphones, Acoustic target tracking, microphone arrays, sparse sensor networks BibRef

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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,
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Springer DOI 2011
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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
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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
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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