Title :
An Adaptive Filtering Approach to Distributed Space-borne SAR Imaging
Author :
Yuan, Xin-Zhe ; Qi, Hai-Min ; Guo, Zhen-Yong ; Zhang, Ping
fDate :
July 31 2006-Aug. 4 2006
Abstract :
An adaptive filtering approach to distributed space-borne SAR imaging is proposed in this paper. The signal model and principle of adaptive filtering imaging are presented at first. Then two categories of adaptive filters are evaluated. The performance analysis and comparison of those two filters indicates that the computation load is lower than with a Wiener filter and imaging quality is better than with a matched filter. Finally the numerical simulation results are presented to illustrate the results.
Keywords :
Wiener filters; adaptive filters; geophysical signal processing; geophysical techniques; radar imaging; spaceborne radar; synthetic aperture radar; Wiener filter; adaptive filtering imaging; distributed spaceborne SAR imaging; synthetic aperture radar; Adaptive filters; Electromagnetic scattering; Geometry; Matched filters; Nonlinear filters; Phased arrays; Radar polarimetry; Radar scattering; Spaceborne radar; Wiener filter;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.317
