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SAR imaging with frequency band gaps based on sparse regularization
Dong, Xiao; Zhang, Yunhua
Source PublicationIET Conference Publications
AbstractWe consider the problem of SAR imaging with frequency band gaps. Frequency gaps in the phase history data can cause severe degradation of image quality. In this paper, we apply sparse regularization methods to reconstruct SAR images from frequency-gapped data. Two regularization methods are evaluated, i.e., the l1regularization method and the sparse maximum a posteriori (SMAP) estimation method Both sparse and complicated scenes are considered in this paper Experimental results on real data for man-made target and SAR interferometry are presented.
Conference NameIET International Radar Conference 2015
Conference DateOctober 14, 2015 - October 16, 2015
Conference PlaceHangzhou, China
Indexed ByEI
Document Type会议论文
Recommended Citation
GB/T 7714
Dong, Xiao,Zhang, Yunhua. SAR imaging with frequency band gaps based on sparse regularization[C],2015.
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201507455388.pdf(1101KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
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