TARGET MULTI-ASPECT SCATTERING SENSITIVITY FEATURE EXTRACTION BASED ON CIRCULAR-SAR

被引:6
作者
Yue, Zhao [2 ,3 ]
Yun, Lin [2 ]
Ping, Wang Yan [1 ,4 ]
Wen, Hong [2 ]
Yu, Lingjuan [2 ]
机构
[1] China Acad Safety Sci & Technol, Res & Dev Ctr, Beijing 100012, Peoples R China
[2] Chinese Acad Sci, Inst Elect, Natl Key Lab Sci & Technol Microwave Imaging, Beijing 100190, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100190, Peoples R China
[4] State Adm Work Safety, Key Lab Mine Goaf Disasters Prevent & Control, Beijing 100012, Peoples R China
来源
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年
基金
中国国家自然科学基金;
关键词
Feature Extraction; anisotropic; azimuth-aspect sensitivity; CSAR;
D O I
10.1109/IGARSS.2016.7729703
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Compared with traditional linear Synthetic Aperture Radar (SAR), Circular-SAR(CSAR) can achieve 360-degree observation of targets. For this reason, CSAR is the best mode of SAR to exploit target feature extraction on azimuth directions. Over larger azimuth angular extents the energy reflected by targets is, in general, not uniform and most targets exhibit only limited scattering persistence. The algorithm proposed in this paper extracts the width of target persistence angle which is defined as target azimuth-angle sensitivity. It is an effective parameter to distinguish different types of anisotropic targets. And it is independent of azimuth orientations for its measurement of width of target persistence angle. This feature is extracted by data inversion in this paper. Compared with the sub-aperture approach which can also extract the anisotropic scattering properties of target, data inversion approach in our algorithm can provide more accurate results and finer curve. This target multi-angle scattering sensitivity feature extraction algorithm is validated by experimental data which is collected in chamber.
引用
收藏
页码:2722 / 2725
页数:4
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