Submit Manuscript
Peer Review
Editor Work
| Citation: | Zhou Yu, Wang Hai-peng, Chen Si-zhe. SAR Automatic Target Recognition Based on Numerical Scattering Simulation and Model-based Matching[J]. Journal of Radars, 2015, 4(6): 666-673. doi: 10.12000/JR15080
|
SAR Automatic Target Recognition Based on Numerical Scattering Simulation and Model-based Matching
DOI: 10.12000/JR15080
-
Abstract
This study proposes a model-based Synthetic Aperture Radar (SAR) automatic target recognition algorithm. Scattering is computed offline using the laboratory-developed Bidirectional Analytic Ray Tracing software and the same system parameter settings as the Moving and Stationary Target Acquisition and Recognition (MSTAR) datasets. SAR images are then created by simulated electromagnetic scattering data. Shape features are extracted from the measured and simulated images, and then, matches are searched. The algorithm is verified using three types of targets from MSTAR data and simulated SAR images, and it is shown that the proposed approach is fast and easy to implement with high accuracy. -
-
References
[1] 张红, 王超, 张波, 等. 高分辨率SAR 图像目标识别[M]. 北 京：科学出版社, 2009: 4-7. Zhang Hong, Wang Chao, Zhang Bo, et al.. High-Resolution SAR Image Target Recognition[M]. Beijing: Science Press, 2009: 4-7.[2] Moreira A, Prats-Iraola P, Younis M, et al.. A tutorial on synthetic aperture radar[J]. IEEE Geoscience and Remote Sensing Magazine, 2013, 1(1): 6-43.[3] 程肖. 基于散射中心模型的 SAR 图像自动目标识别[D]. [硕士 论文], 国防科学技术大学, 2009. Cheng Xiao. SAR ATR algorithm based on the scattering center model[D]. [Master dissertation], National University of Defense Technology, 2009.[4] 裴季方. 基于邻域判别嵌入的SAR 自动目标识别研究[D]. [硕 士论文], 电子科技大学, 2013. Pei Ji-fang. SAR ATR research based on neighborhood judging embedded method[D]. [Master dissertation], University of Electronic Science and Technology of China, 2013.[5] Zhou J, Shi Z, Cheng X, et al.. Automatic target recognition of SAR images based on global scattering center model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(10): 3713-3729.[6] 张锐, 洪峻, 明峰. 基于目标CSAR回波模型的SAR自动目标 识别算法[J]. 电子与信息学报, 2011, 33(1): 27-32. Zhang Rui, Hong Jun, and Ming Feng. SAR ATR algorithm based on the CSAR echo model[J]. Journal of Electronics Information Technology, 2011, 33(1): 27-32.[7] Chiang H C, Moses R L, and Potter L C. Model-based classification of radar images[J]. IEEE Transactions on Information Theory, 2000, 46(5): 1842-1854.[8] Jones G and Bhanu B. Recognition of articulated and occluded objects[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21(7): 603-613.[9] Boshra M and Bhanu B. Predicting performance of object recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(9): 956-969.[10] Xu F and Jin Y Q. Bidirectional analytic ray tracing for fast computation of composite scattering from electric-large target over a randomly rough surface[J]. IEEE Transactions on Antennas and Propagation, 2009, 57(5): 1495-1505.[11] Wissinger J, Ristroph R, Diemunsch J R, et al.. MSTARs extensible search engine and model-based inferencing toolkit[C]. Proceedings SPIE Algorithms for Synthetic Aperture Radar Imagery VI, 1999, 3721: 554-570.[12] Ross T D, Worrell S W, Velten V J, et al.. Standard SAR ATR evaluation experiments using the MSTAR public release data set[C]. Proceedings SPIE Algorithms for Synthetic Aperture Radar Imagery V, 1998, 3370: 566-573. -
Proportional views
- Publishing Ethics
- Journal Insights
- Abstracting & Indexing
- Peer Review Policies
- Guide for Authors
- Conference
- ISSN 2095-283X (Print)ISSN 2097-339X (Online)
- CN 10-1030/TN
- CODEN LXEUAO
About Journal
- Sponsor: China Radio Detection and Ranging Industry Association (CRIA)
- Phone: 010-58887062
- Email：radars@aircas.ac.cn
- Publisher: Leida Xuebao Bianjibu (Editorial office of the Journal of Radars)
Contacts Us
京ICP备20021838号-8
Supported by: Beijing Renhe Information Technology Co. Ltd
Export File
Citation
DownLoad: