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Despeckling of interferometrie SAR data

机译:去干涉干涉SAR数据

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摘要

This paper presents speckle noise removal from synthetic aperture radar data. A novelty in this paper is removing of speckle noise using complex valued SAR data using optimal dual based l1 analysis approach. Paper presents complex valued computation of optimal dual frame l1 analysis using quasi Newton approach. Complex valued regularization is performed using single polarized SAR image and interferometric pair. It was shown that quasi Newton complex valued estimation of single SAR image does not influence on phase, but changes only amplitude part of complex valued SAR data. The proposed method well suppresses speckle noise from single look SAR images was achieves good results compared with the state of the art methods.
机译:本文从合成孔径雷达数据中展示了散斑噪声。本文的新颖性是使用最佳基于Dual的L1分析方法使用复数SAR数据去除散斑噪声。纸张介绍了Quasi Newton方法的最佳双帧L1分析的复合值计算。使用单极偏振SAR图像和干涉测量对进行复数的正则化。结果表明,单个SAR图像的准牛顿复合值估计不会影响阶段,但仅改变了复数的SAR数据的幅度部分。所提出的方法井抑制了单个外观SAR图像的斑点噪声与现有技术的状态相比实现了良好的结果。

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