TY - GEN
T1 - Detection performance of moving target with compressive sensing via dual-channel spaceborne SAR
AU - Mu, Huilin
AU - Zhang, Yun
AU - Lian, Meng
AU - Jiang, Yicheng
AU - Yang, Tianyun
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - Based on the fact that the moving targets are sparse in spatial domain after clutter suppression, we present a novel approach for the indication of moving targets with compressive sensing from dual-channel spaceborne SAR sparse raw data. Moreover, the detection performance measures in terms of GMTI are different from the existing ones for CS. In this paper, the probability of detection (PD)-curves are presented to analyze the detection performance of different CS reconstruction approaches. Not only the experiments with the dual-channel spaceborne SAR simulated and real data but also the detection performance of the proposed method is analyzed in this paper. The result shows that this method is more effective.
AB - Based on the fact that the moving targets are sparse in spatial domain after clutter suppression, we present a novel approach for the indication of moving targets with compressive sensing from dual-channel spaceborne SAR sparse raw data. Moreover, the detection performance measures in terms of GMTI are different from the existing ones for CS. In this paper, the probability of detection (PD)-curves are presented to analyze the detection performance of different CS reconstruction approaches. Not only the experiments with the dual-channel spaceborne SAR simulated and real data but also the detection performance of the proposed method is analyzed in this paper. The result shows that this method is more effective.
KW - Compressive sensing
KW - Detection performance
KW - Moving target detection
KW - Spaceborne synthetic aperture radar
UR - https://www.scopus.com/pages/publications/85007494470
U2 - 10.1109/IGARSS.2016.7729298
DO - 10.1109/IGARSS.2016.7729298
M3 - 会议稿件
AN - SCOPUS:85007494470
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1178
EP - 1181
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -