Azimuth Ambiguity Suppression for Single Look Complex Image Based on Block Sparse Representation

Jieshuang Li, Mingliang Tao, Tao Li, Chuheng Tang, Yanyang Liu, Ling Wang

科研成果: 期刊稿件会议文章同行评审

摘要

Azimuth ambiguity affects image quality seriously, which poses a great challenge to post-processing methods. However, existing ambiguity suppression method mainly deals with the azimuth ambiguity in raw data or utilizing multi-channel information. This paper proposes a blind adaptive method for single-look complex (SLC) images with less prior information. The energy of azimuth ambiguity will be sparsely spread in each sub-look image by multi-look processing on the SLC image. Through robust principal component analysis, useful information embedded in each sub-look image is effectively reconstructed and the azimuth ambiguity is removed. By applying sub-look synthesis, the problem of azimuth resolution loss caused by sub-look images is effectively avoided. Experimental results demonstrate the effectiveness of the proposed method.

源语言英语
页(从-至)2490-2493
页数4
期刊IET Conference Proceedings
2023
47
DOI
出版状态已出版 - 2023
活动IET International Radar Conference 2023, IRC 2023 - Chongqing, 中国
期限: 3 12月 20235 12月 2023

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