Journal of University of Chinese Academy of Sciences >
SAR image compression algorithm based on compressed sensing
Received date: 2014-10-08
Revised date: 2015-05-18
Online published: 2015-11-15
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.
XU Xuejie , PAN Zhigang , LIU Chang . SAR image compression algorithm based on compressed sensing[J]. Journal of University of Chinese Academy of Sciences, 2015 , 32(6) : 790 -796 . DOI: 10.7523/j.issn.2095-6134.2015.06.010
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