雷达学报Issue(1)：35-41,7.DOI:10.12000/JR16004
一种基于压缩感知恢复算法的SAR图像方位模糊抑制方法
Azimuth Ambiguity Suppression in SAR Images Based on Compressive Sensing Recovery Algorithm
摘要
Abstract
Azimuth ambiguities appear widely throughout spaceborne Synthetic Aperture Radar (SAR) images. If the ambiguous energy is relatively strong, a large number of brilliant areas or points will emerge, which may be erroneously judged as actual targets. This is a disadvantage in image interpretation. Due to the fact that ambiguous energy is mixed with energy from the main zone in the frequency and time domains, it is difficult to suppress azimuth ambiguity to a reasonable level using the existing approach without loss of resolution. This study proposes an innovative approach for suppressing azimuth ambiguity based on the compressive sensing recovery framework, in which the original image acts as prior information and the corresponding frequency spectrum truncated in a proper ratio acts as measurement information. With the proposed approach, high-resolution low-ambiguity images can be obtained by iteration. We used simulation and satellite data to validate the effectiveness of this proposed approach in suppressing azimuth ambiguity.关键词
星载SAR/方位模糊抑制/压缩感知Key words
Spaceborne SAR/Azimuth ambiguity suppression/Compressive Sensing (CS)分类
信息技术与安全科学引用本文复制引用
肖鹏,吴有明,于泽,李春升..一种基于压缩感知恢复算法的SAR图像方位模糊抑制方法[J].雷达学报,2016,(1):35-41,7.基金项目
国家重点基础研究发展计划“973计划”(2010CB731902) Foundation Item：National Key Basic Research Program Project (973 Program) of China (2010CB731902) （2010CB731902）
