简介概要

Designing and implementation of variance-dependent Goldstein radar interferogram filtering

来源期刊:中南大学学报(英文版)2014年第8期

论文作者:WANG Qi-jie(王琪洁) ZHANG Xiao-hu(张小虎) ZHU Jian-jun(朱建军) HU Jun(胡俊)

文章页码:3295 - 3301

Key words:synthetic aperture radar interferometry (InSAR); Goldstein filter; variance-dependent radar; coherence; multilook factor

Abstract: The variance-dependent Goldstein radar interferogram filter takes into account the information of both interferometric coherence and multilook factors, and can produce very consistent results for interferograms generated under a wide variety of multilook factors and with very different noise level. However, the filter is a bit complicated and its application is still very limited. We present the designing and implementation of the variance-dependent Goldstein radar interferogram filtering, emphasizing on the logic flow, the generation of look-up table, the determination of filtering parameter, and the handling of edge information loss. Experiments with real interferograms are provided to demonstrate the applications of the designed filtering. Comparisons with the result of the coherence-dependent Goldstein filter show that improvements from 18.4% to 36.9% are achieved when the variance-dependent filter is used, and the noisier the interferogram, the greater the improvement.

详情信息展示

Designing and implementation of variance-dependent Goldstein radar interferogram filtering

WANG Qi-jie(王琪洁)1, ZHANG Xiao-hu(张小虎)2, 3, ZHU Jian-jun(朱建军)1, HU Jun(胡俊)1

(1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2. Department of Military Aerospace, College of Aerospace and Materials Engineering,
National University of Defense Technology, Changsha 410073, China;
3. Hunan Key Laboratory of Videometrics and Vision Navigation, Changsha 410073, China)

Abstract:The variance-dependent Goldstein radar interferogram filter takes into account the information of both interferometric coherence and multilook factors, and can produce very consistent results for interferograms generated under a wide variety of multilook factors and with very different noise level. However, the filter is a bit complicated and its application is still very limited. We present the designing and implementation of the variance-dependent Goldstein radar interferogram filtering, emphasizing on the logic flow, the generation of look-up table, the determination of filtering parameter, and the handling of edge information loss. Experiments with real interferograms are provided to demonstrate the applications of the designed filtering. Comparisons with the result of the coherence-dependent Goldstein filter show that improvements from 18.4% to 36.9% are achieved when the variance-dependent filter is used, and the noisier the interferogram, the greater the improvement.

Key words:synthetic aperture radar interferometry (InSAR); Goldstein filter; variance-dependent radar; coherence; multilook factor

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