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Proceedings Paper

Sub-aperture analysis to measure directivity and isotropy in pol-CSAR
Author(s): Fei-teng Xue; Yun Lin; Bingchen Zhang; Wenjie Shen; Yue Zhao; Wen Hong
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Paper Abstract

Polarimetric synthetic aperture radar (PolSAR) obtains polarimetric scattering of targets. The scattering properties are usually considered as invariant in azimuth. In some new SAR mode, such as wide-angle SAR and circular SAR (CSAR), targets are illuminated for longer time and look angle changes a lot. Moreover some targets have different physical shape in different look angle. Thus scattering properties can no longer be considered as invariant in azimuth. Variations across azimuth should be considered as useful information and are important parts of targets’ scattering properties. In this paper, polarimetric data are cut into subapertures in order to achieve scattering properties in different look angle. Target vector and coherency matrix are de- fined for multi-aperture situation. Polarimetric entropy for multi-aperture situation is then defined and named with multi-aperture poalrimetric entropy(MAPE). MAPE is calculated based on eigenvalue of multi-aperture coherency matrix. MAPE describes variations of scattering properties across subapertures. When MAPE is low, scattering properties change a lot across subapertures, which refers to anisotropic targets. When MAPE is high, there are few variations across subapertures, which refers to isotropic targets. Thus anisotropic targets and isotropic targets can be identified by MAPE. The effectiveness of MAPE is demonstrated on polarimetric CSAR(Pol-CSAR) data, acquired by the Institute of Electronics airborne CSAR system at P-band.

Paper Details

Date Published: 10 October 2017
PDF: 6 pages
Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 104271N (10 October 2017); doi: 10.1117/12.2278207
Show Author Affiliations
Fei-teng Xue, Univ. of Chinese Academy of Sciences (China)
Institute of Electronics (China)
Key Lab. of Technology in Geo-spatial Information Processing and Application System (China)
Yun Lin, Univ. of Chinese Academy of Sciences (China)
Institute of Electronics (China)
Key Lab. of Technology in Geo-spatial Information Processing and Application System (China)
Bingchen Zhang, Univ. of Chinese Academy of Sciences (China)
Institute of Electronics (China)
Key Lab. of Technology in Geo-spatial Information Processing and Application System (China)
Wenjie Shen, Univ. of Chinese Academy of Sciences (China)
Institute of Electronics (China)
Key Lab. of Technology in Geo-spatial Information Processing and Application System (China)
Yue Zhao, Univ. of Chinese Academy of Sciences (China)
Institute of Electronics (China)
Key Lab. of Technology in Geo-spatial Information Processing and Application System (China)
Wen Hong, Univ. of Chinese Academy of Sciences (China)
Institute of Electronics (China)
Key Lab. of Technology in Geo-spatial Information Processing and Application System (China)


Published in SPIE Proceedings Vol. 10427:
Image and Signal Processing for Remote Sensing XXIII
Lorenzo Bruzzone, Editor(s)

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