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Matrix completion-based distributed compressive sensing for polarimetric SAR tomography

基于矩阵补偿的分布式压缩感知层析合成孔径雷达成像方法

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摘要

创新点

本文提出了一种基于矩阵补偿的分布式压缩感知层析合成孔径雷达成像方法。该方法首先利用矩阵补偿对不同极化通道的未知基线数据进行估计, 然后基于补偿后的数据, 利用分布式压缩感知对高程向进行重建。相比于传统的压缩感知和分布式压缩感知技术, 在不改变高程向孔径大小的前提下, 本文方法可以提升高程向重建质量,这意味着减少层析合成孔径雷达成像中获取基线的数目, 从而降低飞行成本和时间消耗成为可能。本文的主要创新点是:

  1. (a)

    一种全新的利用矩阵补偿对未知极化层析合成孔径雷达观测数据进行恢复的方法;

  2. (b)

    基于补偿数据的高程向分布式压缩感知重建的实现。

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Author information

Authors and Affiliations

  1. Science and Technology on Microwave Imaging Laboratory, Beijing, 100190, China

    Hui Bi, BingChen Zhang & Wen Hong

  2. Institute of Electronics, Chinese Academy of Sciences, Beijing, 100190, China

    Hui Bi, BingChen Zhang & Wen Hong

  3. University of Chinese Academy of Sciences, Beijing, 100190, China

    Hui Bi

Authors
  1. Hui Bi
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  2. BingChen Zhang
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  3. Wen Hong
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Correspondence to Hui Bi.

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Bi, H., Zhang, B. & Hong, W. Matrix completion-based distributed compressive sensing for polarimetric SAR tomography. Sci. China Inf. Sci. 58, 1–3 (2015). https://doi.org/10.1007/s11432-015-5395-6

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  • DOI: https://doi.org/10.1007/s11432-015-5395-6

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