Research on vehicle detection method for multi-polarimetric SAR image based on scene analysis

Bochuan Zhang; Xuehui Shao; Peng Nie; Ruiguang Hu

doi:10.1117/12.2535015

14 February 2020 Research on vehicle detection method for multi-polarimetric SAR image based on scene analysis

Bochuan Zhang, Xuehui Shao, Peng Nie, Ruiguang Hu

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 1143003 (2020) https://doi.org/10.1117/12.2535015
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

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.

Citation Download Citation

Bochuan Zhang, Xuehui Shao, Peng Nie, and Ruiguang Hu "Research on vehicle detection method for multi-polarimetric SAR image based on scene analysis", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 1143003 (14 February 2020); https://doi.org/10.1117/12.2535015

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