关键词: 压缩感知, SAR图像压缩, 微分熵, 迭代加权最小二乘

Abstract:

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.

Key words: compressed sensing, SAR image comprssion, differential entropy, iteratively reweighted least squares