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Proceedings Paper

Research on vehicle detection method for multi-polarimetric SAR image based on scene analysis
Author(s): Bochuan Zhang; Xuehui Shao; Peng Nie; Ruiguang Hu
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Paper Abstract

Aiming at the vehicle target detection problem of multi-polarization SAR image under the terrain backgrounds, the global CFAR detection by dual-polarized 16-bit data is proposed, which effectively reduces the influence of terrain clutter on detection. In addition, through the analysis of terrain flatness and the screening of built-up areas, the target detection area is reduced, and the interference of the complex terrain and the densely populated area to the target detection is further reduced, and the reliability of the target detection is greatly improved.

Paper Details

Date Published: 14 February 2020
PDF: 8 pages
Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 1143003 (14 February 2020); doi: 10.1117/12.2535015
Show Author Affiliations
Bochuan Zhang, Beijing Aerospace Automatic Control Institute (China)
Xuehui Shao, Beijing Aerospace Automatic Control Institute (China)
Peng Nie, Beijing Aerospace Automatic Control Institute (China)
Ruiguang Hu, Beijing Aerospace Automatic Control Institute (China)


Published in SPIE Proceedings Vol. 11430:
MIPPR 2019: Pattern Recognition and Computer Vision
Nong Sang; Jayaram K. Udupa; Yuehuan Wang; Zhenbing Liu, Editor(s)

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