TY - GEN
T1 - A method for moving target detection based on airborne multi-aspect SAR system
AU - Zhao, Xin
AU - Liao, Xin
AU - Ding, Zegang
AU - Gao, Wenbin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/22
Y1 - 2016/11/22
N2 - Conventional methods of moving target detection, such as DPCA, GMTI have difficulties in detecting low speed target and showing the movement route. Multi-aspect airborne SAR can illuminate the same scene from different directions to get all-round scattering features of scene. In this paper, a method of moving target detection based on multi-aspect SAR images is proposed. This method can extract the change part from multi-aspect images to estimate the velocity and show the movement route. There is geometric correction, image registration and change detection along the process. As the key part of the detection, an improved image registration method named WT-SIFT is proposed, which combines Wavelet Transform (WT) with Scale-Invariant Feature Transform(SIFT). Finally, the validity of this method of moving target detection is demonstrated by an airborne multi-aspect SAR experiment.
AB - Conventional methods of moving target detection, such as DPCA, GMTI have difficulties in detecting low speed target and showing the movement route. Multi-aspect airborne SAR can illuminate the same scene from different directions to get all-round scattering features of scene. In this paper, a method of moving target detection based on multi-aspect SAR images is proposed. This method can extract the change part from multi-aspect images to estimate the velocity and show the movement route. There is geometric correction, image registration and change detection along the process. As the key part of the detection, an improved image registration method named WT-SIFT is proposed, which combines Wavelet Transform (WT) with Scale-Invariant Feature Transform(SIFT). Finally, the validity of this method of moving target detection is demonstrated by an airborne multi-aspect SAR experiment.
KW - Moving target detection
KW - SIFT
KW - Synthetic Aperture Radar (SAR) Image registration
KW - Wavelet Transform
UR - https://www.scopus.com/pages/publications/85006925381
U2 - 10.1109/ICSPCC.2016.7753666
DO - 10.1109/ICSPCC.2016.7753666
M3 - Conference contribution
AN - SCOPUS:85006925381
T3 - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
BT - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Y2 - 5 August 2016 through 8 August 2016
ER -