收稿日期: 2014-10-08
修回日期: 2015-05-18
网络出版日期: 2015-11-15
基金资助
国家自然科学基金(61101201)资助
SAR image compression algorithm based on compressed sensing
Received date: 2014-10-08
Revised date: 2015-05-18
Online published: 2015-11-15
许学杰 , 潘志刚 , 刘畅 . 基于压缩感知的SAR图像压缩算法[J]. 中国科学院大学学报, 2015 , 32(6) : 790 -796 . DOI: 10.7523/j.issn.2095-6134.2015.06.010
In this work, SAR image compression algorithm based on compressed sensing is studied. Based on the theory of compressed sensing, a new approach for measurement matrix construction is proposed in dimension reduction domain while a new algorithm named improved iteratively reweighted least squares based on differential entropy for signal reconstruction is put forward as well. The conclusion can be drawn that the new compression algorithm is prior to traditional compression algorithms after the SAR image compression experiment and the compression performance comparison.
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