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Detection and imaging of slowly moving target of airborne SAR based on the GMCWD-Hough transform

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3 Author(s)
Wang Ling ; Dept. of Electron. Eng., Beijing Inst. of Technol., China ; Tao Ran ; Zhou Si-Yong

In this paper, the features of airborne SAR moving target echoes are analysed, the Generalized-marginal Choi-Williams Distribution-Hough transform (GMCWD-HT) is also introduced. According to the echoes model of airborne SAR, a new method of detecting and imaging the slowly moving target of airborne SAR based on the (GMCWD-HT) is proposed. Computer simulation results show that this method can be used to perform the slowly moving target detection and imaging of airborne SAR in the low signal to clutter ratio; its detecting performance is better than the common method based on Wigner-Ville distribution.

Published in:

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:6 )

Date of Conference:

6-10 April 2003