基于平稳小波变换的InSAR干涉图细节补偿滤波方法

Liang Chang, Xiufeng He
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引用次数: 1

摘要

散斑是干涉合成孔径雷达(InSAR)干涉图的固有特性,它影响城市地质地质灾害预测评价的准确性,因此有必要对干涉图进行滤波以抑制散斑的影响。然而,在现有的干涉图滤波方法中,存在着消斑与保留干涉图细节的矛盾。利用差分思想和小波变换的特点,提出了基于平稳小波变换的InSAR干涉图细节补偿滤波方法。并用该方法对两幅巴姆地震SAR图像生成的局部干涉图进行了实验。结果表明,该方法不仅可以有效地抑制散斑,而且通过对干涉图的细节进行补偿,可以很好地保持干涉图的细节,大大减少了残留点的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
InSAR interferogram detail-compensating filtering method based on the stationary wavelet transform
Speckle is an inherent characteristic of InSAR (Interferometric Synthetic Aperture Radar) interferogram, it affects the accuracy of prediction and evaluation of urban Geology and Geohazards, so it is necessary to carry out interferogram filtering to suppress the effect of speckle. However, there is a contradiction between speckle reduction and keeping the details of the interferogram in current methods of interferogram filtering. Using the difference idea and the character of the wavelet transform, we propose InSAR interferogram detail-compensating filter method based on the stationary wavelet transform. And an experiment is made on the partial interferogram generated by two SAR images of Bam earthquake with this method. As a result, not only can the new method suppress the speckle effectively, but also it can maintain details of interferogram well by compensating the details, and it reduces the number of residual points greatly.
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