24.8.6.3 ATR -- Model, Object Based Radar and SAR Recognition

Chapter Contents (Back)
Model Based Recognition. Radar. SAR. ATR.

Verbout, S.M., Irving, W.W., and Hanes, A.S.,
Improving a Template-Based Classifier in a SAR Automatic Target Recognition System by Using 3-D Target Information,
LLJ(6), No. 1 1993, pp. 53-75. BibRef 9300

Botha, E.C., Barnard, E., Barnard, C.J.,
Feature-Based Classification of Aerospace Radar Targets Using Neural Networks,
NeurNet(9), No. 1, January 1996, pp. 129-142. BibRef 9601

Nieuwoudt, C.[Christoph], Botha, E.C.,
Relative Performance of Correlation-Based and Feature-Based Classifiers of Aircraft Using Radar Range Profiles,
ICPR98(Vol II: 1828-1832).
IEEE DOI 9808
BibRef

Yi, J.H., Bhanu, B., Li, M.,
Target Indexing in SAR Images Using Scattering Centers and the Hausdorff Distance,
PRL(17), No. 11, September 16 1996, pp. 1191-1198. 9611
BibRef

Ahn, J.S.[Joon Soo], Bhanu, B.[Bir],
Model-based recognition of articulated objects,
PRL(23), No. 8, June 2002, pp. 1019-1029.
Elsevier DOI 0204
BibRef
Earlier: A2, A1:
A System for Model-Based Recognition of Articulated Objects,
ICPR98(Vol II: 1812-1815).
IEEE DOI 9808
BibRef

Ahn, J.S.[Joon Soo], Bhanu, B.[Bir],
Matching of Articulated Objects in SAR Images,
DARPA97(1167-1172). BibRef 9700

Bhanu, B., Jones, III, G., Ahn, J.S.[Joon Soo], Li, M., Yi, J.,
Recognition of Articulated Objects in SAR Images,
ARPA96(1237-1250). BibRef 9600

Jones, III, G., Bhanu, B.,
Quasi-Invariants for Recognition of Articulated and Non-Standard Objects in SAR Images,
CVBVS99(88).
IEEE DOI BibRef 9900

Shekhar, C.[Chandra], Moisan, S.[Sabine], Vincent, R.[Regis], Burlina, P.[Philippe], Chellappa, R.[Rama],
Knowledge-based Control of Vision Systems,
IVC(17), No. 9, July 1999, pp. 667-683.
Elsevier DOI BibRef 9907
Earlier: UMD--TR3824, August 1997. Knowledge-Based Vision.
WWW Link. BibRef

Boshra, M.[Michael], Zhang, H.[Hong],
A Constraint-Satisfaction Approach for 3-D Object Recognition by Integrating 2-D and 3-D Data,
CVIU(73), No. 2, February 1999, pp. 200-214.
DOI Link BibRef 9902

Boshra, M.[Michael], Bhanu, B.[Bir],
Predicting Performance of Object Recognition,
PAMI(22), No. 9, September 2000, pp. 956-969.
IEEE DOI 0010
BibRef
Earlier:
Performance Prediction and Validation for Object Recognition,
CVPR99(II: 380-386).
IEEE DOI BibRef
And:
Bounding Fundamental Performance of Feature-Based Object Recognition,
DARPA98(1155-1162). BibRef
And:
Predicting object recognition performance under data uncertainty, occlusion and clutter,
ICIP98(III: 556-560).
IEEE DOI 9810
Scene and model as 2D feature points. BibRef

Jones, III, G.[Grinnell], Bhanu, B.[Bir],
Recognition of Articulated and Occluded Objects,
PAMI(21), No. 7, July 1999, pp. 603-613.
IEEE DOI BibRef 9907
Earlier:
Invariants for the Recognition of Articulated and Occluded Objects in SAR Images,
DARPA97(1135-1144). BibRef

Jones, III, G.[Grinnell], Bhanu, B.[Bir],
Recognizing articulated objects in SAR images,
PR(34), No. 2, February 2001, pp. 469-485.
Elsevier DOI 0011
BibRef

Bhanu, B.[Bir], Jones, III, G.[Grinnell],
Multiple Look Angle Sar Recognition,
IJIG(4), No. 1, January 2004, pp. 85-98. 0401
BibRef

Bhanu, B.[Bir], Jones, III, G.[Grinnell],
Object Recognition Results Using MSTAR Synthetic Aperture Radar Data,
CVBVS00(55).
IEEE DOI 0006
BibRef

Jones, III, G.[Grinnell], Bhanu, B.[Bir], Guo, J.[Jun],
Geometrical and Magnitude Invariants for Recognition of Articulated and Non-Standard Objects in MSTAR Images,
DARPA98(1163-1170). BibRef 9800

Bhanu, B.[Bir], Lin, Y.Q.[Ying-Qiang], Jones, III, G.[Grinnell], Peng, J.[Jing],
Adaptive Target Recognition Using Reinforcement Learning,
DARPA98(1177-1180). BibRef 9800

Bhanu, B.[Bir], Lin, Y.Q.[Ying-Qiang],
Genetic algorithm based feature selection for target detection in SAR images,
IVC(21), No. 7, July 2003, pp. 591-608.
Elsevier DOI 0307
BibRef

Bhanu, B.[Bir], Lin, Y.Q.[Ying-Qiang], Wang, S.,
Feature Selection for Target Detection in SAR Images,
CVBVS01(xx-yy). 0110
BibRef

Bhanu, B.[Bir], Lin, Y.Q.[Ying-Qiang],
Stochastic models for recognition of occluded targets,
PR(36), No. 12, December 2003, pp. 2855-2873.
Elsevier DOI 0310
BibRef
Earlier:
Recognition of Occluded Targets Using Stochastic Models,
CVBVS00(73).
IEEE DOI 0006
BibRef

Bhanu, B.[Bir], Tian, B.[Bing],
Multiple Stochastic Models for Recognition of Occluded Targets in SAR Images,
DARPA97(1119-1128). BibRef 9700
And:
Stochastic Models for Recognition of Articulated Objects,
ICIP97(II: 847-850).
IEEE DOI BibRef

Zhang, S., Bhanu, B.,
Automatic Model Construction for Object Recognition Using ISAR Images,
ICPR96(IV: 169-173).
IEEE DOI 9608
BibRef
And:
Automatic Model Construction for Object Recognition Using Inverse Synthetic Aperature Radar Images,
ARPA96(1229-1236). (Univ. of California, Riverside, USA) Models for SAR analysis, large variation for viewing angle. BibRef

Perlovsky, L.I., Schoendorf, W.H., Burdick, B.J., Tye, D.M.,
Model-Based Neural-Network for Target Detection in SAR Images,
IP(6), No. 1, January 1997, pp. 203-216.
IEEE DOI 9703
BibRef

Spoelstra, J., Botha, E.C.,
New Rotation-Invariant Features for Radar Target Recognition,
SP(55), No. 3, December 1996, pp. 351-367. 9703
BibRef

Allman, M.C.[Mark C.], Debrunner, C.H.[Christian H.], Hamilton, R.W.[Reid W.], Layne, J.D.[J. Dan], Bondeson, R.J.[Richard J.],
Integrated Use of 3-D Site Models and ATR in SAR Image Exploitation,
Radius97(335-356). BibRef 9700

Banerjee, A., Burlina, P., Chellappa, R.,
Adaptive Target Detection in Foliage-Penetrating SAR Images Using Alpha-Stable Models,
IP(8), No. 12, December 1999, pp. 1823-1831.
IEEE DOI 9912
BibRef
And: UMD--TR3832, September 1997.
WWW Link.
See also Spectral Attentional Mechanism Tuned to Object Configurations, A. BibRef

Banerjee, A.[Amit], Chellappa, R.[Rama],
Target Discrimination in FOPEN SAR Images Using Angular Diversity in Alpha-stable Noise,
UMD--TR4117, March 2000.
WWW Link. BibRef 0003

Chellappa, R.[Rama], Banerjee, A., Burlina, P.[Phillipe], Song, J.,
Model Based Detection of Targets in FOPEN SAR Images,
DARPA98(679-690). BibRef 9800

Chellappa, R., Burlina, P., Song, J.,
Model-Based Target Recognition in Foliage Penetrating SAR Images,
DARPA97(1013-1018). BibRef 9700

Potter, L.C., Moses, R.L.,
Attributed Scattering Centers for SAR ATR,
IP(6), No. 1, January 1997, pp. 79-91.
IEEE DOI 9703
BibRef

Moses, R.L.[Randloph L.], Potter, L.C.[Lee C.],
Feature Extraction using Attributed Scattering Center Models for Model-Based Automatic Target Recognition,
DARPA98(663-670). BibRef 9800
Earlier: DARPA97(1019-1022). BibRef

Moses, R.L.[Randolph L.], Potter, L.C.[Lee C.], Chiang, H.C.[Hung-Chih], Keots, M.A.[Michael A.], Sabharwal, A.[Ashutosh],
Parametric Attributed Scattering Center Model for SAR Automatic Target Recognition,
DARPA98(849-860). BibRef 9800

Chiang, H.C.[Hung-Chih], Moses, R.L., Irving, W.W.,
Performance estimation of model-based automatic target recognition using attributed scattering center features,
CIAP99(303-308).
IEEE DOI 9909
BibRef

Chiang, H.C.[Hung-Chih], Moses, R.L.[Randolph L.], Potter, L.C.[Lee C.],
Model-based Bayesian feature matching with application to synthetic aperture radar target recognition,
PR(34), No. 8, August 2001, pp. 1539-1553.
Elsevier DOI 0105
BibRef

Ertin, E., Moses, R.L.,
Through-the-Wall SAR Attributed Scattering Center Feature Estimation,
GeoRS(47), No. 5, May 2009, pp. 1338-1348.
IEEE DOI 0904
BibRef

Ying, Z.R.[Zheng-Rong], Castañon, D.A.[David A.],
Partially Occluded Object Recognition Using Statistical Models,
IJCV(49), No. 1, August 2002, pp. 57-78.
DOI Link 0209
BibRef
Earlier:
Feature Based Object Recognition using Statistical Occlusion Models with One-to-one Correspondence,
ICCV01(I: 621-627).
IEEE DOI 0106
For partially occluded features, match one-to-one extracted features. BibRef

Touzi, R., Charbonneau, F.,
Characterization of target symmetric scattering using polarimetric SARs,
GeoRS(40), No. 11, November 2002, pp. 2507-2516.
IEEE Top Reference. 0301
BibRef

di Bisceglie, M., Galdi, C.,
CFAR Detection of Extended Objects in High-Resolution SAR Images,
GeoRS(43), No. 4, April 2005, pp. 833-843.
IEEE Abstract. 0501
BibRef

LeCaillec, J.M.,
Study of the SAR Signature of Internal Waves by Nonlinear Parametric Autoregressive Models,
GeoRS(44), No. 1, January 2006, pp. 148-158.
IEEE DOI 0601
BibRef

Bandiera, F., Orlando, D., Ricci, G.,
CFAR Detection of Extended and Multiple Point-Like Targets Without Assignment of Secondary Data,
SPLetters(13), No. 4, April 2006, pp. 240-243.
IEEE DOI 0604
BibRef

Collins, M.J., Kopp, E.B.,
On the Design and Evaluation of Multiobjective Single-Channel SAR Image Segmentation Algorithms,
GeoRS(46), No. 6, June 2008, pp. 1836-1846.
IEEE DOI 0711
BibRef

Kopp, E.B., Collins, M.J.,
On the Use of a Shape Constraint in a Pixel-Based SAR Segmentation Algorithm,
GeoRS(50), No. 8, August 2012, pp. 3158-3170.
IEEE DOI 1208
BibRef

Sun, G.M.[Guang-Min], Wang, J.[Jing], Qin, S.F.[Sheng-Feng], Na, J.F.[Jing-Fang],
Radar target recognition based on the multi-resolution analysis theory and neural network,
PRL(29), No. 16, 1 December 2008, pp. 2109-2115.
Elsevier DOI 0811
Radar target recognitions; Neural networks; Wavelet transforms BibRef

Wang, Z.L.[Ze-Long], Yan, F.X.[Feng-Xia], He, F.[Feng], Zhu, J.[Jubo],
Missile target automatic recognition from its decoys based on image time-series,
PR(43), No. 6, June 2010, pp. 2157-2164.
Elsevier DOI 1003
Image time-series; Range instantaneous Doppler imaging algorithm; Cross-range scaling; Inertia ration BibRef

Pajares, G., López-Martínez, C., Sánchez-Lladó, F., Molina, Í.,
Improving Wishart Classification of Polarimetric SAR Data Using the Hopfield Neural Network Optimization Approach,
RS(4), No. 11, November 2012, pp. 3571-3595.
DOI Link 1211
BibRef

Yu, H., Zhang, X., Wang, S., Hou, B.,
Context-Based Hierarchical Unequal Merging for SAR Image Segmentation,
GeoRS(51), No. 2, February 2013, pp. 995-1009.
IEEE DOI 1302
BibRef

de Carvalho Júnior, O.A.[Osmar Abílio], de Moraes Maciel, L.M.[Luz Marilda], Ferreira de Carvalho, A.P.[Ana Paula], Guimarães, R.F.[Renato Fontes], Silva, C.R.[Cristiano Rosa], Trancoso Gomes, R.A.[Roberto Arnaldo], Silva, N.C.[Nilton Correia],
Probability Density Components Analysis: A New Approach to Treatment and Classification of SAR Images,
RS(6), No. 4, 2014, pp. 2989-3019.
DOI Link 1405
BibRef

Xu, Z.W.[Zhi-Wei], Zhang, L.[Lei], Xing, M.D.[Meng-Dao], von Deneen, K.M., Ran, L.[Lei],
Interesting components detection for space satellites from inverse synthetic aperture radar image via feature probabilistic estimation,
IET-IPR(9), No. 6, 2015, pp. 506-515.
DOI Link 1507
image registration BibRef

Li, D., Zhang, Y.,
Unified Huynen Phenomenological Decomposition of Radar Targets and Its Classification Applications,
GeoRS(54), No. 2, February 2016, pp. 723-743.
IEEE DOI 1601
Couplings BibRef

Bolourchi, P.[Pouya], Demirel, H.[Hasan], Uysal, S.[Sener],
Target recognition in SAR images using radial Chebyshev moments,
SIViP(11), No. 6, September 2017, pp. 1033-1040.
WWW Link. 1708
BibRef

Wang, Z.C.[Zhao-Cheng], Du, L.[Lan], Zhang, P.[Peng], Li, L.[Lu], Wang, F.[Fei], Xu, S.W.[Shu-Wen], Su, H.T.[Hong-Tao],
Visual Attention-Based Target Detection and Discrimination for High-Resolution SAR Images in Complex Scenes,
GeoRS(56), No. 4, April 2018, pp. 1855-1872.
IEEE DOI 1804
Clutter, Computational modeling, Feature extraction, Image segmentation, Object detection, Synthetic aperture radar, visual attention BibRef

Du, L.[Lan], Dai, H.[Hui], Wang, Y.[Yan], Xie, W.T.[Wei-Tong], Wang, Z.C.[Zhao-Cheng],
Target Discrimination Based on Weakly Supervised Learning for High-Resolution SAR Images in Complex Scenes,
GeoRS(58), No. 1, January 2020, pp. 461-472.
IEEE DOI 2001
Feature extraction, Synthetic aperture radar, Radar polarimetry, Training, Support vector machines, Optical imaging, Clutter, weakly supervised learning (WSL) BibRef

Luo, S., Tong, L., Chen, Y.,
A Multi-Region Segmentation Method for SAR Images Based on the Multi-Texture Model With Level Sets,
IP(27), No. 5, May 2018, pp. 2560-2574.
IEEE DOI 1804
Image edge detection, Image segmentation, Level set, Mathematical model, Speckle, Statistical distributions, multi-texture model BibRef

Wang, Y.[Yu], Zhou, G.Q.[Guo-Qing], You, H.T.[Hao-Tian],
An Energy-Based SAR Image Segmentation Method with Weighted Feature,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Zhou, F.[Fang], He, F.J.[Feng-Jie], Gui, C.C.[Chang-Chun], Dong, Z.Y.[Zhang-Yu], Xing, M.D.[Meng-Dao],
SAR Target Detection Based on Improved SSD with Saliency Map and Residual Network,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Tang, L.[Linbo], Tang, W.[Wei], Qu, X.[Xin], Han, Y.Q.[Yu-Qi], Wang, W.Z.[Wen-Zheng], Zhao, B.[Baojun],
A Scale-Aware Pyramid Network for Multi-Scale Object Detection in SAR Images,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Li, P.[Peng], Feng, C.Q.[Cun-Qian], Hu, X.W.[Xiao-Wei], Tang, Z.X.[Zi-Xiang],
SAR-BagNet: An Ante-hoc Interpretable Recognition Model Based on Deep Network for SAR Image,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Chen, H.[He], Fu, X.J.[Xiong-Jun], Dong, J.[Jian],
SAR Target Recognition Based on Inception and Fully Convolutional Neural Network Combining Amplitude Domain Multiplicative Filtering Method,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zhu, M.Z.[Ming-Zhe], Cheng, J.[Jie], Lei, T.[Tao], Feng, Z.P.[Zhen-Peng], Zhou, X.[Xianda], Liu, Y.J.[Yuan-Jing], Chen, Z.H.[Zhi-Han],
C-RISE: A Post-Hoc Interpretation Method of Black-Box Models for SAR ATR,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Sun, X.P.[Xi-Ping], Wu, X.P.[Xi-Peng], Zhou, Q.Q.[Qin-Quan], Zhang, L.[Lei], Wu, J.X.[Jian-Xin],
Airborne Radar Staggered PRF Coherent Processing Method for Down-Looking Target Detection,
RS(15), No. 13, 2023, pp. 3271.
DOI Link 2307
BibRef

Chang, J.Y.[Jia-Yun], Fu, X.J.[Xiong-Jun], Zhan, K.[Kai], Zhao, X.Z.[Xue-Zhou], Dong, J.[Jian], Wu, J.Q.[Jun-Qiang],
Target Detection Method Based on Adaptive Step-Size SAMP Combining Off-Grid Correction for Coherent Frequency-Agile Radar,
RS(15), No. 20, 2023, pp. 4921.
DOI Link 2310
BibRef

Liang, Z.H.[Zhi-Huan], Jin, Y.H.[Yang-Hao], Yang, D.[Degui], Liang, B.[Buge], Mo, J.J.[Jin-Jun],
Two-Step Accuracy Improvement for Multitarget Detection in Complex Environment Using UWB Radar,
RS(16), No. 5, 2024, pp. 877.
DOI Link 2403
BibRef

Duan, J.[Jiale], Qiu, L.[Linyao], He, G.[Guangjun], Zhao, L.[Ling], Zhang, Z.[Zhenshi], Li, H.F.[Hai-Feng],
A Region-Adaptive Local Perturbation-Based Method for Generating Adversarial Examples in Synthetic Aperture Radar Object Detection,
RS(16), No. 6, 2024, pp. 997.
DOI Link 2403
BibRef


Suresh, G., Gehrke, R., Wiatr, T., Hovenbitzer, M.,
Synthetic Aperture Radar (SAR) Based Classifiers For Land Applications In Germany,
ISPRS16(B1: 1187-1193).
DOI Link 1610
BibRef

Zhang, Y.[Yanmei], Zhang, J.X.[Ji-Xian], Huang, G.[Guoman], Zhao, Z.[Zheng],
Object-Oriented Classification of Polarimetric SAR Imagery Based on Texture Features,
ISIDF11(1-4).
IEEE DOI 1111
BibRef

Chen, Q.A.[Qi-Ang], Jiang, Y.M.[Yong-Mei], Zhao, L.J.[Ling-Jun], Lu, J.[Jun], Hong, D.[Ding],
A scattering similarity based classification scheme for land applications of polarimetric SAR image,
ICIP10(1361-1364).
IEEE DOI 1009
BibRef

Phillips, W.[William],
SAR Image Understanding: High-speed Target Detection and Site Model Based Exploitation,
UMD--TR 3891, April 1998.
WWW Link. BibRef 9804

Ikeuchi, K., Wheeler, M.D., Yamazaki, T., Shakunaga, T.,
Model-Based SAR ATR System,
ARPA96(1263-1276). BibRef 9600
And: A1, A4, A2, A3:
Invariant Histograms and Deformable Template Matching for SAR Target Recognition,
CVPR96(100-105).
IEEE DOI BibRef
And:
SAR Target Recognition Based on Invariant Histograms and Deformable Template Matching,
CMU-CS-TR-95-198, March 1996. Match with feature pairs -- lines for 3 points. BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Doppler Radar Applications .


Last update:May 6, 2024 at 15:50:14