24.8 ATR Applications, Automatic Target Recognition

Chapter Contents (Back)
ATR. Target Recognition. Recognition, ATR. Application, ATR.
See also Hyperspectral Target Detection.
See also Subpixel Target, Subpixel Land Use, Tiny Objects.
See also Remote Sensing Object Detection Applications.

Spikenet Technology,
2008.
WWW Link. Vendor, Object Detection. Vendor, Object Tracking. Real-time object detection.

UCF-ARG,
Online2012
WWW Link. Dataset, Surveillance. 1211
BibRef
Earlier: UCF Aerial Action Dataset,

WWW Link. A:Aerial Camera, R: Roof top camera, G: Ground camera. 3 views of different actions. The aerial subset

Alagar, V.S., Thiel, L.H.,
Algorithms for Detecting M-Dimensional Objects in N-Dimensional Spaces,
PAMI(3), No. 3, May 1981, pp. 245-256. BibRef 8105

Tisdale, G.E.[Glenn E.], Lindemann, H.B.[Harley B.],
Target recognition system enhanced by active signature measurements,
US_Patent4,497,065, 01/29/1985.
HTML Version. Detect, then laser pointer. BibRef 8501

Wentworth, E.W.[Edwin W.], Horn, S.B.[Stuart B.],
High probability of detection, low false alarm multisensor ATR,
US_Patent4,905,292, Feb 27, 1990
WWW Link. Fuse results of 2 sensors. BibRef 9002

Mobasseri, B.G.,
Automatic Target Scoring System Using Machine Vision,
MVA(8), No. 1, 1995, pp. 20-30.
Springer DOI BibRef 9500

Mobasseri, B.G.,
Projectile impact detection and performance evaluation using machine vision,
WACV92(248-254).
IEEE DOI 0403
BibRef

Gupta, L.[Lalit], Sortrakul, T.[Thotsapon], Charles, A.[Alain], Kisatsky, P.[Paul],
Robust Automatic Target Recognition Using a Localized Boundary Representation,
PR(28), No. 10, October 1995, pp. 1587-1598.
Elsevier DOI BibRef 9510

Bradski, G., Grossberg, S.,
Fast-Learning Viewnet Architectures for Recognizing 3-Dimensional Objects from Multiple 2-Dimensional Views,
NeurNet(8), No. 7-8, 1995, pp. 1053-1080. BibRef 9500

Casasent, D.P., Neiberg, L.M.,
Classifier and Shift-Invariant Automatic Target Recognition Neural Networks,
NeurNet(8), No. 7-8, 1995, pp. 1117-1129. BibRef 9500

Fisher, J.W., Principe, J.C.,
A Nonlinear Extension of the Mace Filter,
NeurNet(8), No. 7-8, 1995, pp. 1131-1141. BibRef 9500

Sajda, P., Spence, C.D., Hsu, S., Pearson, J.C.,
Integrating Neural Networks with Image Pyramids to Learn Target Context,
NeurNet(8), No. 7-8, 1995, pp. 1143-1152. BibRef 9500

Hecht-Nielsen, R., Zhou, Y.T.,
VARTAC: A Foveal Active Vision ATR System,
NeurNet(8), No. 7-8, 1995, pp. 1309-1321. BibRef 9500

Andreou, A.G., Meitzler, R.C., Strohbehn, K., Boahen, K.A.,
Analog VLSI Neuromorphic Image Acquisition and Preprocessing Systems,
NeurNet(8), No. 7-8, 1995, pp. 1323-1347. BibRef 9500

Andes, D.K., Witham, J.C., Miles, M.D.,
Mavis: A Special-Purpose Neural Computational System for ATR,
NeurNet(8), No. 7-8, 1995, pp. 1349-1358. BibRef 9500

Sadovnik, L., Rizkin, A., Rashkovskiy, O., Sawchuk, A.A.,
All-Optical Invariant Target Recognition Based on Intensity-to-Phase Coding,
OptEng(35), No. 2, February 1996, pp. 423-428. BibRef 9602

Liu, J., Chang, K.C.,
Feature-Based Target Recognition with a Bayesian Network,
OptEng(35), No. 3, March 1996, pp. 701-707. BibRef 9603

Wang, G.Y., Zhang, T.X., Wei, L.G., Sang, N.,
Efficient Method for Multiscale Small Target Detection from a Natural Scene,
OptEng(35), No. 3, March 1996, pp. 761-768. BibRef 9603

Tyo, J.S., Rowe, M.P., Pugh, E.N., Engheta, N.,
Target Detection in Optically Scattering Media by Polarization-Difference Imaging,
AppOpt(35), No. 11, April 10 1996, pp. 1855-1870. Polarized Light. BibRef 9604

Miller, M.I., Grenander, U., O'Sullivan, J.A., Snyder, D.L.,
Automatic Target Recognition Organized via Jump-Diffusion Algorithms,
IP(6), No. 1, January 1997, pp. 157-174.
IEEE DOI 9703
BibRef

Serra, B., Berthod, M.,
3-D Model Localization Using High-Resolution Reconstruction of Monocular Image Sequences,
IP(6), No. 1, January 1997, pp. 175-188.
IEEE DOI 9703
BibRef

Laude, V., Formont, S.,
Bayesian Target Location in Images,
OptEng(36), No. 10, October 1997, pp. 2649-2659. 9710
BibRef

Richard, S., Sims, F.,
Data Compression Issues in Automatic Target Recognition and the Measuring of Distortion,
OptEng(36), No. 10, October 1997, pp. 2671-2674. 9710
BibRef

Ulug, B., Ahalt, S.C., Mitchell, R.A.,
Efficient ATR Using Compression,
AeroSys(33), No. 4, October 1997, pp. 1199-1211. 9710
BibRef

Barkat, M., Dib, S.,
CFAR Detection for Two Correlated Targets,
SP(61), No. 3, September 1997, pp. 289-295. 9712
BibRef

Fernandez, X., Amat, J.,
Detection of Small Size Synthetic References in Scenes Acquired with a Pixelated Device,
OptEng(36), No. 11, November 1997, pp. 3073-3080. 9712
BibRef

Pasquariello, G., Satalino, G., Laforgia, V., Spilotros, F.,
Automatic Target Recognition For Naval Traffic Control Using Neural Networks,
IVC(16), No. 2, February 20 1998, pp. 67-73.
Elsevier DOI 9803
BibRef

Takacs, B., Sadovnik, L.,
3-Dimensional Target Recognition and Tracking Using Neural Networks Trained on Optimal Views,
OptEng(37), No. 3, March 1998, pp. 819-828. 9804
BibRef

Chen, Z.K.[Zi-Kuan], Karim, M.A.[Mohammad A.], Hayat, M.M.[Majeed M.],
Locating target at high speed using image decimation decomposition processing,
PR(34), No. 3, March 2001, pp. 685-694.
Elsevier DOI 0101
BibRef

Bhatnagar, R., Horvitz, R., Williams, R.,
A Hybrid System for Target Classification,
PRL(18), No. 11-13, November 1997, pp. 1399-1403. 9806
BibRef

Shao, Y., Mayhew, J.E.W.,
PLINC Algorithm: Pattern Location in Noisy Contexts,
VISP(145), No. 2, April 1998, pp. 109-115. 9806
BibRef
Earlier:
A Stochastic Framework for Object Localisation,
BMVC96(Poster Session 1). 9608
University of Sheffield BibRef

Wang, L.C., Der, S.Z., Nasrabadi, N.M.,
Automatic Target Recognition Using a Feature Decomposition and Data Decomposition Modular Neural-Network,
IP(7), No. 8, August 1998, pp. 1113-1121.
IEEE DOI 9808
BibRef

Cartier, J.F., Nicoll, J.F., Hsu, D.H.,
Target Attractiveness Model for Field of View Search,
OptEng(37), No. 7, July 1998, pp. 1923-1936. 9808
BibRef

Jacobs, E.L., O'Brien, G.,
Investigation of Computational Vision and Principal Component Analysis with Application to Target Classification,
OptEng(37), No. 7, July 1998, pp. 2022-2028. 9808
BibRef

Bhama, S., Singh, H.,
Neural Networks for Image Modeling by 2-Dimensional Random Fields with Application to Image Compression for Target Acquisition,
OptEng(37), No. 7, July 1998, pp. 2029-2042. 9808
BibRef

Chaudhary, V., Aggarwal, J.K.,
Parallel Image Component Labeling for Target Acquisition,
OptEng(37), No. 7, July 1998, pp. 2078-2090. 9808
BibRef

Ashton, E.A., Schaum, A.P.,
Algorithms for the Detection of Sub-Pixel Targets in Multispectral Imagery,
PhEngRS(64), No. 7, July 1998, pp. 723-731. 9807
BibRef

Srinivasana, R.[Rajani], Kinsera, J.M.[Jason M.],
A Foveating Fuzzy Scoring Target Recognition System,
PR(31), No. 8, August 1998, pp. 1149-1158.
Elsevier DOI 9807
BibRef

Principe, J.C., Radisavljevic, A., Fisher, J.W., Hiett, M., Novak, L.M.,
Target Prescreening Based on a Quadratic Gamma-Discriminator,
AeroSys(34), No. 3, July 1998, pp. 706-715. 9808
BibRef

Caprari, R.S.[Robert S.],
Method of Target Detection in Images by Moment Analysis of Correlation Peaks,
AppOpt(38), No. 8, March 1999, pp. 1317-1324. BibRef 9903

Miller, P.C.[Paul C.], Caprari, R.S.[Robert S.],
Demonstration of Improved Automatic Target-Recognition Performance by Moment Analysis of Correlation Peaks,
AppOpt(38), No. 8, March 1999, pp. 1325-1331. BibRef 9903

Sjoeberg, H.[Henrik], Goudail, F.[Francois], Refregier, P.[Philippe],
Optimal algorithms for target location in nonhomogeneous binary images,
JOSA-A(15), No. 12, December 1998, pp. 2976-2985. BibRef 9812

Waldemark, K.[Karina], Lindblad, T.[Thomas], Beanovi, V.[Vlatko], Guillen, J.L.L.[Jose L.L.], Klingner, P.L.[Phillip L.],
Patterns from the sky,
PRL(21), No. 3, March 2000, pp. 227-237. 0003
BibRef

Waldemark, J.[Joakim], Millberg, M.[Mikael], Lindblad, T.[Thomas], Waldemark, K.[Karina],
Image analysis for airborne reconnaissance and missile applications,
PRL(21), No. 3, March 2000, pp. 239-251. 0003
BibRef

Bhanu, B.[Bir], Lin, Y.Q.[Ying-Qiang], Jones, III, G.[Grinnell], Peng, J.[Jing],
Adaptive target recognition,
MVA(11), No. 6, 2000, pp. 289-299.
Springer DOI 0005
BibRef
Earlier: CVBVS99(71).
IEEE DOI BibRef

Webb, A.R.[Andrew R.],
Gamma mixture models for target recognition,
PR(33), No. 12, December 2000, pp. 2045-2054.
Elsevier DOI 0008
BibRef

Mueller, M.[Marina], Segl, K.[Karl], Kaufmann, H.[Hermann],
Edge- and region-based segmentation technique for the extraction of large, man-made objects in high-resolution satellite imagery,
PR(37), No. 8, August 2004, pp. 1619-1628.
Elsevier DOI 0407
Segmentation. Use shape. For fields. BibRef

Singh, S.[Sameer], Singh, M.[Maneesha],
Explosives detection systems (EDS) for aviation security,
SP(83), No. 1, January 2003, pp. 31-55.
HTML Version. 0211
BibRef

Turhan-Sayan, G.[Gönül],
Natural resonance-based feature extraction with reduced aspect sensitivity for electromagnetic target classification,
PR(36), No. 7, July 2003, pp. 1449-1466.
Elsevier DOI 0304
BibRef

Chan, A.L., Der, S.Z., Nasrabadi, N.M.,
A joint compression-discrimination neural transformation applied to target detection,
SMC-B(35), No. 4, August 2005, pp. 670-681.
IEEE DOI 0508
BibRef

Sadgal, M.[Mohammed], El Fazziki, A.[Aziz], Ouahman, A.A.[Abdellah Ait],
Aerial image processing and object recognition,
VC(21), No. 1-2, February 2005, pp. 118-123.
Springer DOI 0502
BibRef

Dasgupta, P.,
A Multiagent Swarming System for Distributed Automatic Target Recognition Using Unmanned Aerial Vehicles,
SMC-A(38), No. 3, May 2008, pp. 549-563.
IEEE DOI 0804
BibRef

Renard, N., Bourennane, S.,
Improvement of Target Detection Methods by Multiway Filtering,
GeoRS(46), No. 8, August 2008, pp. 2407-2417.
IEEE DOI 0808
BibRef

Renard, N., Bourennane, S., Blanc-Talon, J.,
Improvement of Classification Using a Joint Spectral Dimensionality Reduction and Lower Rank Spatial Approximation for Hyperspectral Images,
ACIVS07(132-143).
Springer DOI 0708
BibRef
And:
Robust Target Detection by Spatial/Spectral Restoration Based on Tensor Modelling,
ICIP07(III: 481-484).
IEEE DOI 0709
BibRef
Earlier:
Multiway Filtering Applied on Hyperspectral Images,
ACIVS06(127-137).
Springer DOI 0609
Target detection in hyperspectral imagery. BibRef

Bourennane, S., Fossati, C., Cailly, A.,
Improvement of Target-Detection Algorithms Based on Adaptive Three-Dimensional Filtering,
GeoRS(49), No. 4, April 2011, pp. 1383-1395.
IEEE DOI 1104
BibRef

Xu, C.F.[Chun-Fan], Duan, H.B.[Hai-Bin],
Artificial bee colony (ABC) optimized edge potential function (EPF) approach to target recognition for low-altitude aircraft,
PRL(31), No. 13, 1 October 2010, pp. 1759-1772.
Elsevier DOI 1003
Artificial bee colony (ABC); Edge potential function (EPF); Target recognition; Shape matching; Genetic algorithm (GA) BibRef

Yu, F.[Frances], Duan, H.B.[Hai-Bin],
Meta-heuristic intelligence based image processing,
PRL(31), No. 13, 1 October 2010, pp. 1749.
Elsevier DOI 1003
BibRef

Huck, A., Guillaume, M.,
Asymptotically CFAR-Unsupervised Target Detection and Discrimination in Hyperspectral Images With Anomalous-Component Pursuit,
GeoRS(48), No. 11, November 2010, pp. 3980-3991.
IEEE DOI 1011
BibRef

Romano, J.M., Rosario, D.S., McCarthy, J.,
Day/Night Polarimetric Anomaly Detection Using SPICE Imagery,
GeoRS(50), No. 12, December 2012, pp. 5014-5023.
IEEE DOI 1212
BibRef

Borel, C., Rosario, D.S., Romano, J.M.,
Analysis of diurnal, long-wave hyperspectral measurements of natural background and manmade targets under different weather conditions,
AIPR14(1-5)
IEEE DOI 1504
BibRef
And: A2, A1, A3:
Against conventional wisdom: Longitudinal inference for pattern recognition in remote sensing,
AIPR14(1-10)
IEEE DOI 1504
Fourier transform spectroscopy. hyperspectral imaging BibRef

Romano, J.M.[Joao M.], Rosario, D.S.[Dalton S.],
Range invariant anomaly detection for LWIR polarimetric imagery,
AIPR14(1-6)
IEEE DOI 1504
BibRef
Earlier: A2, A1: Rosario, D.S.[Dalton S.], Romano, J.M.[Joao M.],
Multidimensional image processing for remote sensing anomaly detection,
IPTA10(471-476).
IEEE DOI 1007
covariance matrices BibRef

Du, B.[Bo], Zhang, L.P.[Liang-Pei],
Target detection based on a dynamic subspace,
PR(47), No. 1, 2014, pp. 344-358.
Elsevier DOI 1310
Target detection using background. Not motion, hypersprectral imaging. BibRef

Liu, W.J.[Wei-Jian], Xie, W.C.[Wen-Chong], Wang, Y.L.[Yong-Liang],
Rao and Wald Tests for Distributed Targets Detection With Unknown Signal Steering,
SPLetters(20), No. 11, 2013, pp. 1086-1089.
IEEE DOI 1310
Gaussian noise BibRef

Savage, N.,
Identifying explosives at a distance,
Spectrum(51), No. 10, October 2014, pp. 19-20.
IEEE DOI 1411
News item. Review. BibRef

Mishne, G., Talmon, R., Cohen, I.,
Graph-Based Supervised Automatic Target Detection,
GeoRS(53), No. 5, May 2015, pp. 2738-2754.
IEEE DOI 1502
geophysical image processing. Data driven target modeling. Detect from training set BibRef

Shen, L.X.[Lai-Xin], Jiang, C.J.[Chang-Jun], Liu, G.J.[Guan-Jun],
Satellite Objects Extraction and Classification Based on Similarity Measure,
SMCS(46), No. 8, August 2016, pp. 1148-1154.
IEEE DOI 1608
Gray codes BibRef

Royo, P.[Pablo], Pastor, E.[Enric], Macias, M.[Miquel], Cuadrado, R.[Raul], Barrado, C.[Cristina], Vargas, A.[Arturo],
An Unmanned Aircraft System to Detect a Radiological Point Source Using RIMA Software Architecture,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Bitar, A.W.[Ahmad W.], Cheong, L.F.[Loong-Fah], Ovarlez, J.P.[Jean-Philippe],
Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery,
GeoRS(57), No. 8, August 2019, pp. 5239-5251.
IEEE DOI 1908
Automatically separating targets of interests from the background in hyperspectral imagery. hyperspectral imaging, matrix decomposition, object detection, sparse matrices, low-rank matrix decomposition, target separation BibRef

Bernabé, S.[Sergio], García, C.[Carlos], Igual, F.D.[Francisco D.], Botella, G.[Guillermo], Prieto-Matias, M.[Manuel], Plaza, A.[Antonio],
Portability Study of an OpenCL Algorithm for Automatic Target Detection in Hyperspectral Images,
GeoRS(57), No. 11, November 2019, pp. 9499-9511.
IEEE DOI 1911
Code, Target Detection. Hyperspectral imaging, Object detection, Performance evaluation, Graphics processing units, portability BibRef

Tang, P., Wang, Y., Liu, W., Du, Q., Wu, C., Chen, W.,
A Tunable Detector for Distributed Target Detection in the Situation of Signal Mismatch,
SPLetters(27), 2020, pp. 151-155.
IEEE DOI 2002
Tunable detector, signal mismatch, distributed target, multichannel signal detection BibRef

Guruacharya, S., Chalise, B.K., Himed, B.,
Energy Distribution of Multiple Target Signal With Application to Target Counting,
SPLetters(27), 2020, pp. 431-435.
IEEE DOI 2004
Signal to noise ratio, Probability density function, Maximum likelihood estimation, Spaceborne radar, Radio frequency, counting BibRef

Yang, X., Nan, X., Song, B.,
D2N4: A Discriminative Deep Nearest Neighbor Neural Network for Few-Shot Space Target Recognition,
GeoRS(58), No. 5, May 2020, pp. 3667-3676.
IEEE DOI 2005
Target recognition, Feature extraction, Measurement, Task analysis, Training, Neural networks, Semantics, Discriminative feature, transfer learning BibRef

Zhang, G.G.[Gai-Gai], Zhao, S.Z.[Shi-Zhi], Li, W.[Wei], Du, Q.[Qian], Ran, Q.[Qiong], Tao, R.[Ran],
HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Jha, S.S.[Sudhanshu Shekhar], Nidamanuri, R.R.[Rama Rao],
Gudalur Spectral Target Detection (GST-D): A New Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
Dataset, Targets. Target detection, or sparsely distributed materials. BibRef

Yang, X.[Xi], Wu, T.[Tan], Wang, N.N.[Nan-Nan], Huang, Y.[Yan], Song, B.[Bin], Gao, X.B.[Xin-Bo],
HCNN-PSI: A hybrid CNN with partial semantic information for space target recognition,
PR(108), 2020, pp. 107531.
Elsevier DOI 2008
Space target recognition, Hybrid convolutional neural network with partial semantic information, Components segment BibRef

Liu, Y., Liu, H., Wang, L., Bi, G.,
Target Localization in High-Coherence Multipath Environment Based on Low-Rank Decomposition and Sparse Representation,
GeoRS(58), No. 9, September 2020, pp. 6197-6209.
IEEE DOI 2008
Earth, Direction-of-arrival estimation, Signal processing algorithms, Estimation, Geometry, Interference, sparse representation (SR) BibRef

Xu, D.Q.[Dan-Qing], Wu, Y.Q.[Yi-Quan],
MRFF-YOLO: A Multi-Receptive Fields Fusion Network for Remote Sensing Target Detection,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Cheng, B.[Bei], Li, Z.Z.[Zheng-Zhou], Xu, B.T.[Bi-Tong], Yao, X.[Xu], Ding, Z.Q.[Zhi-Quan], Qin, T.Q.[Tian-Qi],
Structured Object-Level Relational Reasoning CNN-Based Target Detection Algorithm in a Remote Sensing Image,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Xu, D.Q.[Dan-Qing], Wu, Y.Q.[Yi-Quan],
FE-YOLO: A Feature Enhancement Network for Remote Sensing Target Detection,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Qing, Y.H.[Yu-Hao], Liu, W.Y.[Wen-Yi], Feng, L.Y.[Liu-Yan], Gao, W.J.[Wan-Jia],
Improved YOLO Network for Free-Angle Remote Sensing Target Detection,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Shi, P.F.[Peng-Fei], Jiang, Q.G.[Qi-Gang], Shi, C.[Chao], Xi, J.[Jing], Tao, G.F.[Guo-Fang], Zhang, S.[Sen], Zhang, Z.C.[Zhen-Chao], Liu, B.[Bin], Gao, X.[Xin], Wu, Q.[Qian],
Oil Well Detection via Large-Scale and High-Resolution Remote Sensing Images Based on Improved YOLO v4,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wolf, S.[Stefan], Sommer, L.[Lars], Schumann, A.[Arne],
FastAER Det: Fast Aerial Embedded Real-Time Detection,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
Detection of objects in aerial imagery. BibRef

Kleebauer, M.[Maximilian], Horst, D.[Daniel], Reudenbach, C.[Christoph],
Semi-Automatic Generation of Training Samples for Detecting Renewable Energy Plants in High-Resolution Aerial Images,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhang, H.Y.[Hong-Yun], Liu, J.[Jin], Liu, J.[Jie],
Accurate Extraction of Ground Objects from Remote Sensing Image Based on Mark Clustering Point Process,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Luo, X.D.[Xu-Dong], Wu, Y.[Yiquan], Zhao, L.Y.[Lang-Yue],
YOLOD: A Target Detection Method for UAV Aerial Imagery,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Luo, X.D.[Xu-Dong], Wu, Y.[Yiquan], Wang, F.Y.[Fei-Yue],
Target Detection Method of UAV Aerial Imagery Based on Improved YOLOv5,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Kim, A.R.[A Ran], Kim, H.S.[Ha Seon], Kang, C.H.[Chang Ho], Kim, S.Y.[Sun Young],
The Design of the 1D CNN-GRU Network Based on the RCS for Classification of Multiclass Missiles,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
Dynamic Radar Cross Section. Gated Recurrent Unit. BibRef

Wu, Z.Y.[Zhen-Yu], Yan, H.B.[Hai-Bin],
Adaptive dynamic networks for object detection in aerial images,
PRL(166), 2023, pp. 8-15.
Elsevier DOI 2302
Object detection, Coarse-to-fine, Adaptive detector, Aerial images BibRef

Li, Z.Y.[Zhe-Yong], Li, J.H.[Jing-Hua], Zhang, P.[Pei], Zheng, L.H.[Li-Hui], Shen, Y.L.[Yi-Long], Li, Q.[Qi], Li, X.[Xin], Li, T.[Tong],
A Transfer-Based Framework for Underwater Target Detection from Hyperspectral Imagery,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Yan, Y.J.[Yong-Ji], Wang, H.Y.[Hong-Yuan], Song, B.[Boyi], Chen, Z.D.[Zhao-Dong], Fan, R.W.[Rong-Wei], Chen, D.Y.[De-Ying], Dong, Z.W.[Zhi-Wei],
Airborne Streak Tube Imaging LiDAR Processing System: A Single Echo Fast Target Extraction Implementation,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
LiDAR for target detection. BibRef

Wei, X.C.[Xin-Chi], Zhang, Y.[Yan], Zheng, Y.H.[Yu-Hui],
BSFCDet: Bidirectional Spatial-Semantic Fusion Network Coupled with Channel Attention for Object Detection in Satellite Images,
RS(15), No. 13, 2023, pp. 3213.
DOI Link 2307
BibRef

Yang, G.Y.[Guo-Ye], Li, X.L.[Xiang-Li], Xiao, Z.K.[Zi-Kai], Mu, T.J.[Tai-Jiang], Martin, R.R.[Ralph R.], Hu, S.M.[Shi-Min],
Sampling Equivariant Self-Attention Networks for Object Detection in Aerial Images,
IP(32), 2023, pp. 6413-6425.
IEEE DOI 2312
BibRef

Huang, S.Q.[Shu-Qin], Ren, S.[Shasha], Wu, W.[Wei], Liu, Q.[Qiong],
Discriminative features enhancement for low-altitude UAV object detection,
PR(147), 2024, pp. 110041.
Elsevier DOI 2312
Object detection, Feature enhancement, Small scale object, Loss function, Low-altitude-UAV vision BibRef

Su, Y.Q.[Yue-Qi], Chen, X.[Xin], Cang, C.[Chen], Li, F.H.[Feng-Hong], Rao, P.[Peng],
A Space Target Detection Method Based on Spatial-Temporal Local Registration in Complicated Backgrounds,
RS(16), No. 4, 2024, pp. 669.
DOI Link 2402
BibRef

Liu, C.[Chun], Zhang, S.X.[Si-Xuan], Hu, M.J.[Meng-Jie], Song, Q.[Qing],
Object Detection in Remote Sensing Images Based on Adaptive Multi-Scale Feature Fusion Method,
RS(16), No. 5, 2024, pp. 907.
DOI Link 2403
BibRef


Wang, K.Y.[Kun-Yu], Fu, X.Y.[Xue-Yang], Huang, Y.K.[Yu-Kun], Cao, C.Z.[Cheng-Zhi], Shi, G.[Gege], Zha, Z.J.[Zheng-Jun],
Generalized UAV Object Detection via Frequency Domain Disentanglement,
CVPR23(1064-1073)
IEEE DOI 2309
BibRef

Cai, Q.H.[Qi-Hai], Zhong, S.[Shangping], Chen, K.[Kaizhi],
Target Detection in Rural River Image Based on YOLO V5 Model with the Cross-Stitch Unit,
ICIVC21(36-42)
IEEE DOI 2112
Training, Image recognition, Target recognition, Computational modeling, Object detection, Data models, Rivers, the cross-stitch unit BibRef

Hong, Y.K.[Young-Kyu], Han, S.J.[Seung-Ju], Choi, K.[Kwanghee], Seo, S.[Seokjun], Kim, B.[Beomsu], Chang, B.[Buru],
Disentangling Label Distribution for Long-tailed Visual Recognition,
CVPR21(6622-6632)
IEEE DOI 2111
Training, Visualization, Protocols, Target recognition, Object detection, Predictive models BibRef

Liu, J.[Jerrick], Inkawhich, N.[Nathan], Nina, O.[Oliver], Timofte, R.[Radu], Duan, Y.[Yuru], Li, G.Z.[Gong-Zhe], Geng, X.[Xueli], Cai, H.Q.[Huan-Qia],
NTIRE 2021 Multi-modal Aerial View Object Classification Challenge,
NTIRE21(588-595)
IEEE DOI 2109
Image sensors, Radar tracking, Radar polarimetry, Sensors, Pattern recognition, Task analysis BibRef

Yang, C.Y.[Cheng-Yen], Hsu, H.M.[Hung-Min], Cai, J.R.[Jia-Rui], Hwang, J.N.[Jenq-Neng],
Long-Tailed Recognition of SAR Aerial View Objects by Cascading and Paralleling Experts,
NTIRE21(142-148)
IEEE DOI 2109
Radar tracking, Optical imaging, Radar polarimetry, Pattern recognition, Optical sensors, Task analysis BibRef

Ma, X.Y.[Xin-Yue], Oh, B.S.[Beom-Seok], Sun, L.[Lei], Toh, K.A.[Kar-Ann], Lin, Z.P.[Zhi-Ping],
EMD-Based Entropy Features for micro-Doppler Mini-UAV Classification,
ICPR18(1295-1300)
IEEE DOI 1812
Entropy, Feature extraction, Blades, Support vector machines, Radar polarimetry, Spectrogram BibRef

San Miguel, J.C., Cavallaro, A.,
Efficient estimation of target detection quality,
ICIP17(915-919)
IEEE DOI 1803
Cameras, Computational modeling, Covariance matrices, Estimation, Object detection, Target tracking, Uncertainty, Detection quality, quadrature-based integration BibRef

Blanchart, P.[Pierre], Ferecatu, M.[Marin],
Local integrity constraints for structure detection and segmentation in high-resolution earth observation images,
ICIP15(373-377)
IEEE DOI 1512
interactive learning BibRef

Ishii, T.[Tomohiro], Nakamura, R.[Ryosuke], Nakada, H.[Hidemoto], Mochizuki, Y.[Yoshihiko], Ishikawa, H.[Hiroshi],
Surface object recognition with CNN and SVM in Landsat 8 images,
MVA15(341-344)
IEEE DOI 1507
Earth BibRef

Le Saux, B.[Bertrand],
Interactive Design of Object Classifiers in Remote Sensing,
ICPR14(2572-2577)
IEEE DOI 1412
Boosting BibRef

Singh, S., Rao, D.V.,
Recognition and identification of target images using feature based retrieval in UAV missions,
NCVPRIPG13(1-4)
IEEE DOI 1408
autonomous aerial vehicles BibRef

Saran, R.[Ram], Sarje, A.K.[Anil K.],
Robust long range target detection algorithm using adaptive selective top-hat transform,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

Rodriguez, A.[Andres], Kumar, B.V.K.V.[B.V.K. Vijaya],
Automatic target recognition of multiple targets from two classes with varying velocities using correlation filters,
ICIP10(2781-2784).
IEEE DOI 1009
BibRef

Patel, V.M.[Vishal M.], Nasrabadi, N.M.[Nasser M.], Chellappa, R.[Rama],
Automatic target recognition based on simultaneous sparse representation,
ICIP10(1377-1380).
IEEE DOI 1009
BibRef

Irvine, J.M.,
User guided visualization for target search,
AIPR09(1-8).
IEEE DOI 0910
BibRef

Guo, Z.J.[Zhi-Jun], He, X.[Xin], Wei, Z.H.[Zhong-Hui], Liang, G.L.[Guo-Long],
A new method of target recognition based on Rough Set and Support Vector Machine,
IASP10(570-574).
IEEE DOI 1004
Partition the data, then classify. BibRef

Haanpaa, D., Beach, G., Cohen, C.J.,
An Automatic Target Classifier using Model Based Image Processing,
AIPR06(22-22).
IEEE DOI 0610
BibRef

Beach, G., Lomont, C., Cohen, C.J.,
Quantum image processing (QuIP),
AIPR03(39-44).
IEEE DOI 0310
BibRef

Beach, G., Cohen, C.J., Moody, G., Henry, M.,
Projectile identification system,
AIPR03(51-55).
IEEE DOI 0310
BibRef

Karacali, B., Snyder, W.E.,
Automatic target detection using multispectral imaging,
AIPR02(55-59).
IEEE DOI 0210
BibRef

Ben Hadj, S.[Saima], Chatelain, F.[Florent], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.],
Parameter estimation for a marked point process within a framework of multidimensional shape extraction from remote sensing images,
PCVIA10(A:1).
PDF File. 1009
BibRef

Chatelain, F.[Florent], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.],
Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images,
EMMCVPR09(221-234).
Springer DOI 0908
Model the configuration of points. Applied to variety of extractions. BibRef

Zhang, Y.J.[Yong-Jun],
Photogrammetric Processing of Low Altitude Image Sequences by Unmanned Airship,
ISPRS08(B5: 751 ff).
PDF File. 0807
BibRef

Moriyama, T., Kochi, N., Yamada, M., FukMaya, N.,
Automatic Target-Identification with the Color-Coded-Targets,
ISPRS08(B5: 39 ff).
PDF File. 0807
BibRef

Xu, K.Y.[Kai-Yu], Hu, W.H.[Wen-Hua], Zhou, W.N.[Wei-Na], Zheng, H.Y.[Hua-Yao],
Target Detection Based on The Artificial Neural Network Technology,
ICARCV06(1-5).
IEEE DOI 0612
BibRef

Rouse, D.M., Trussell, H.J.,
A set theoretic approach to target detection using spectral signature statistics,
ICIP04(IV: 2439-2442).
IEEE DOI 0505
BibRef

Todorovic, S.[Sinisa], Nechyba, M.C.[Michael C.],
Towards Intelligent Mission Profiles of Micro Air Vehicles: Multiscale Viterbi Classification,
ECCV04(Vol II: 178-189).
Springer DOI 0405
Using real-time constraints, recognize targets. BibRef

Caron, Y., Makris, P., Vincent, N.,
A method for detecting artificial objects in natural environments,
ICPR02(I: 600-603).
IEEE DOI 0211
BibRef

Dambreville, F.[Frederic], Le Cadre, J.P.[Jean-Pierre],
Minimax Optimization of Continuous Search Efforts for the Detection of a Target,
INRIARR-4194, June 2001.
HTML Version. 0211
BibRef

Sun, S.G.[Sun-Gu], Park, H.W.[Hyun Wook],
Invariant feature extraction based on radial and distance function for automatic target recognition,
ICIP02(III: 345-348).
IEEE DOI 0210
BibRef

Abu-Gharbieh, R.,
Flame Front Matching and Tracking in PLIF Images Using Geodesic Paths and Level Sets,
LevelSet01(xx-yy). 0106
BibRef

Nakajima, C., Itoh, N., Pontil, M., Poggio, T.,
Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation,
ICPR00(Vol IV: 787-790).
IEEE DOI 0009
BibRef

Sossa Azuela, J.H.[J. Humberto], Guzmán, G.[Giovanni],
New Method to Count Objects Into an Image,
ICPR00(Vol I: 470-472).
IEEE DOI 0009
BibRef

Olson, C.F.,
Real-time Ordnance Recognition in Color Imagery,
ICPR00(Vol IV: 685-688).
IEEE DOI 0009
BibRef

Messer, K., de Ridder, D., Kittler, J.V.,
Adaptive texture representation methods for automatic target recognition,
BMVC99(Posters/Exhibition/Demos).
PDF File. BibRef 9900

de Bonet, J.S.[Jeremy S.], Viola, P.[Paul], Fisher, III, J.W.[John W.],
Flexible Histograms: A Multiresolution Target Discrimination Model,
DARPA98(867-874). BibRef 9800
And: SPIE(3370), 1998.
PS File. OR
PDF File. BibRef

Philips, D.A.[David A.], Cherrix, G.T.[G. Thomas],
Bosnia Cantonment Area Monitoring System (BCAMS): Rapid Response to the Needs of the U.S. Army Europe,
DARPA98(693-702). BibRef 9800

Myasnikov, V.V.[Vladislav V.],
On the Modified Quality Criterion of a Procedure of Objects Detection on Spatially-Extended Fields,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Kottke, D., Fiore, P.,
Systolic Array for Acceleration of Template Based ATR,
ICIP97(I: 869-872).
IEEE DOI BibRef 9700

Kittler, J.V.[Josef V.], Soh, L., Matas, J.G.[Jiri G.],
Recognition Using Labelled Objects,
ICPR98(Vol II: 1336-1338).
IEEE DOI 9808
BibRef

Matas, J.G., Soh, L., and Kittler, J.V.,
Object Recognition Using a Tag,
ICIP97(I: 877-880).
IEEE DOI BibRef 9700

Procter, S., and Illingworth, J.,
ForeSight: Fast Object Recognition Using Geometric Hashing with Edge-Triple Features,
ICIP97(I: 889-892).
IEEE DOI BibRef 9700

Fred, A.L.N., Marques, J.S., and Jorge, P.M.,
Hidden Markov Models vs. Syntactic Modeling in Object Recognition,
ICIP97(I: 893-896).
IEEE DOI 9710
BibRef

Mirmehdi, M.[Majid], Palmer, P.L., and Kittler, J.V.,
Towards Optimal Zoom for Automatic Target Recognition,
SCIA97(447-453)
HTML Version. 9705
BibRef

Ghosal, S.[Sugata], McKee, D.C.[Douglas C.],
Target Detection in Foveal ATR Systems,
CVPR96(714-719).
IEEE DOI BibRef 9600

Chan, L.A.[Lipchen A.], Nasrabadi, N.M.[Nasser M.], and Mirelli, V.[Vincent],
Multi-Stage Target Recognition Using Modular Vector Quantizers and Multi-Layer Perceptions,
CVPR96(114-119).
IEEE DOI BibRef 9600
And:
Automatic Target Recognition Using Modularly Cascaded Vector Quantizers and Multilayer Perceptrons,
ICASSP96(xx). BibRef

Maloof, M.A., Duric, Z., Michalski, R.S., Rosenfeld, A.,
Recognizing Blasting Caps in X-Ray Images,
ARPA96(1257-1262). BibRef 9600

Anandan, P., Burt, P.J., Perason, J.,
Spatial and Temporal Mechanisms in Target Cueing,
ARPA96(525-530). BibRef 9600

Draper, B.A.[Bruce A.], Beveridge, J.R.[J. Ross],
Image Understanding Research at Colorado State University,
DARPA97(825-834). BibRef 9700

Beveridge, J.R., Draper, B.A., Siejko, K.,
Progress on Target and Terrain Recognition Research at Colorado State University,
ARPA96(531-540).
PS File. BibRef 9600

Doria, D.M.[David M.],
Performance Modeling and Adaptive Target Detection,
DARPA97(1255-1266). BibRef 9700

Doria, D.M., Huttenlocher, D.P.,
Progress on the Fast Adaptive Target Detection Program,
ARPA96(589-594). BibRef 9600

Hummel, R.A.[Robert A.], Geiger, D.[Davi],
Wavelet-Based Target Hashing for Automatic Target Recognition,
DARPA97(1047-1056). BibRef 9700

Ben-Arie, J.,
Survey of IU and ATR Research at ITT and UIC,
ARPA96(619-626). BibRef 9600

Mettala, E., Cook, D.J., Harbison, K.,
Application of the Scenario-Based Engineering Process to the Unmanned Ground Vehicle Project,
ARPA96(627-642). BibRef 9600

Davis, L.S.[Larry S.], Morimoto, C.[Carlos], Herman, M.[Martin], Bajcsy, R.[Ruzena], Nelson, R.C.[Randal C.],
RSTA on the Move: Detection and Tracking of Moving Objects from an Autonomous Mobile Platform: Final Report,
UMDOctober 1996.
PS File. The accomplishments of the UGV RSTA project. BibRef 9610

Davis, L.S., Bajcsy, R., Herman, M., Nelson, R.C.,
RSTA on the Move: Detection and Tracking of Moving Objects from an Autonomous Mobile Platform,
ARPA96(651-664).
PS File. BibRef 9600

Bajcsy, R.[Ruzena], Davis, L.S.[Larry S.], Herman, M.[Martin], and Nelson, R.C.[Randal C.],
RSTA on the Move,
ARPA94(I:435-456). BibRef 9400

Au, W.[Wing], Roberts, B.[Barry],
Adaptive Configuration and Control in an ATR System,
ARPA96(667-676). BibRef 9600
And: A2, A1: SPIE(2496), Detection Technologies for Mines and Minelike Targets, April 1995, Orlando, FL. BibRef

Roberts, B.[Barry], and Brown, C.M.[Christopher M.],
Adaptive Configuration and Control in an ATR System,
ARPA94(I:467-479). BibRef 9400

Sohn, K.H.[Kwang-Hoon],
Recognition of partially occluded target objects,
ICIP96(III: 595-598).
IEEE DOI 9610
BibRef

Li, J.[Jin], Kim, S.[Sungook], Kuo, C.C.J.[C.C. Jay],
Focus of attention (FOA) identification from compressed video for automatic target recognition (ATR),
ICIP95(III: 508-511).
IEEE DOI 9510
BibRef

Sadjadi, F.A., Bazakos, M.E.,
A Perspective on Automatic Target Recognition Evaluation Technology,
PESIPS93(XX-YY). BibRef 9300

Aggarwal, R.K., Panda, D.P., Bazakos, M.E., and Wittenburg, T.M.,
Context Dependent Automatic Image Recognition System,
DARPA79(145-150). BibRef 7900

Bhanu, B.[Bir], and Wu, X.[Xing],
Target Recognition Using Multi-Scale Gabor Filters,
ARPA94(I:505-509). BibRef 9400

Harbison, K.[Karan], Hufnagel, S.[Stephen], and Mettala, E.[Erik],
Scenario-based Engineering Process for Reconnaissance, Surveillance, and Target Acquisition,
ARPA94(I:515-537). BibRef 9400

Severson, W.E.[William E.], and Rimey, R.D.[Raymond D.],
Reconnaissance, Surveillance, and Target Acquisition in the UGV/Demo II Program,
ARPA94(I:Not Printed). BibRef 9400

Hecht-Nielsen, R.[Robert], Shao, M.[Min], and Wang, S.M.[Shin-Min],
Fast K-NN Search for Robust ATR Object Matching,
ARPA94(II:889-894). BibRef 9400

Müller, W.J.[Walter J.], Olson, J.[James], Martin, A.[Andrew], Hinchman, J.H.[John H.],
Focusing on Targets Through Exclusion,
SPIE(1472), April 1991, pp. 66-75. BibRef 9104

Dasarathy, B.V.,
CORPS: Class Overlap Region Partitioning Scheme: A Tool for Feature Assessment,
SPIE(1957), April 1993, pp. 215-226. BibRef 9304

Dasarathy, B.V.,
Recognition in Noisy Environments: System Structure and Strategies,
PRIP81(31-33). BibRef 8100

Amehdi, H.[Hossien], Nasr, H.N.[Hatem N.],
Neural networks for ATR parameters adaptation,
SPIE(1483), 1991, pp. 177-184. BibRef 9100

Kerekes, J.P.[John P.],
Parametric Analysis of Target/Decoy Performance,
SPIE(1483), 1991, pp. 155-166. BibRef 9100

Shen, X.J.[Xuan-Jing], Wang, Y.[Yao], Li, Z.R.[Zhong-Rong], Hu, M.Z.[Ming-Zeng],
A dynamic target recognition system,
ICPR88(II: 901-904).
IEEE DOI 8811
BibRef

Dasarathy, B.V.,
Information Processing for Target Recognition from Autonomous Vehicles,
SPIE(219), Symposium on Electro-Optical Technology for Autonomous Vehicles, February 1980, pp. 86-93. BibRef 8002

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
ATR -- Survey, Review, Evaluation, General Discussions .


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