TY - JOUR
T1 - Detection and imaging of slowly moving target of airborne SAR based on the GMCWD-Hough transform
AU - Wang, Ling
AU - Tao, Ran
AU - Zhou, Si Yong
PY - 2003
Y1 - 2003
N2 - In this paper, the features of airborne SAR moving target echoes are analysed, the Generalized-marginal Choi-Williams Distribution-Hough transform 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 Generalized-marginal Choi-Williams Distribution-Hough transform (GMCWD-HT) is proposed in the paper. 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.
AB - In this paper, the features of airborne SAR moving target echoes are analysed, the Generalized-marginal Choi-Williams Distribution-Hough transform 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 Generalized-marginal Choi-Williams Distribution-Hough transform (GMCWD-HT) is proposed in the paper. 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.
UR - http://www.scopus.com/inward/record.url?scp=0141854029&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0141854029
SN - 0736-7791
VL - 6
SP - 525
EP - 528
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
T2 - 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing
Y2 - 6 April 2003 through 10 April 2003
ER -