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Proceedings Paper

A CFAR detector for prescreening region of interests in SAR images
Author(s): Yu-mei Sun; Yan-fei Zhang; Zhen-yu Xu; Yun-yun Dong
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Paper Abstract

Conventionally, SAR Automatic Target Detection(ATD)are often performed in SAR image domain. A novel scheme of SAR target detection in the state of non-imaging is presented. More precisely, this paper addresses adaptive detection of SAR possibly extended targets when implemented on range-compressed but azimuth-uncompressed SAR raw data. The SAR target detection is established in the context of space-time adaptive processing (STAP) and the spatial-temporal steering vector of an airborne stripmap SAR is derived by exploiting signature diversity, namely of the fact that SAR can change the transmitted signal as the azimuth varies. The generalized adaptive subspace detector (GASD) is employed to detect range-spread target from SAR raw data. Performance analysis of the proposed detector via Monte Carlo simulation shows the validity of this new detection scheme.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330M (29 August 2016); doi: 10.1117/12.2248315
Show Author Affiliations
Yu-mei Sun, Yantai Nanshan Institute (China)
Yan-fei Zhang, Yantai Nanshan Insitute (China)
Zhen-yu Xu, Yantai Nanshan Institute (China)
Yun-yun Dong, Yantai Nanshan Institute (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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