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基于异向梯度加权值干涉图滤波

A filter based on weighting by anisotropic gradient for interferogram

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【作者】 易辉伟朱建军许兵陈建群李佳

【Author】 YI Huiwei;ZHU Jianjun;XU Bing;CHEN Jianqun;LI Jia;School of Geosciences and Info-Physics, Central South University;Key Laboratory of Precise Engineering Surveying & Deformation Hazard Monitoring of Hunan Province;

【机构】 中南大学地球科学与信息物理学院湖南省普通高校精密工程测量及形变灾害监测重点实验室

【摘要】 根据窗口内周围各像素与中心像素之间的异向梯度及像素相干值构成中心像素迭代公式中的权函数,提出一种保持条纹细节的干涉条纹图滤波方法。以模拟数据和意大利Etna火山、土耳其地震的真实干涉图数据为例,将新方法与空间自适应滤波、Lee滤波和最优化方向融合方法进行比较。研究结果表明:新算法能够滤除大量噪声同时保持条纹边缘,模拟干涉图和2幅真实干涉图残余点去除率分别达到99.3%,90.3%和87.9%,更有利于后续的相位解缠。

【Abstract】 The kernel pixel’s iteration formula was weighted by coherence and anisotropic gradients between surrounding pixels of the window and the kernel pixel. By this means a new filter for interferogram was presented, which could keep the fringe detail as well. Taking the simulated data and actual interferograms of Etna volcano in Italy and earthquake in Turkey for example, this new algorithm was compared with complex space domain adaptive filter, Lee filter and optimal integration-based adaptive direction filter. The results show that this new method performs well not only in noise reduction but also in preservation of the sharp sawtooth profile of fringe. The residual points reductions in simulate and actual interferograms are 99.3%,90.3% and 87.9% respectively, in favor of following phase unwrapping.

【关键词】 InSAR干涉图滤波异向梯度相干值
【Key words】 InSARinterferogram filteranisotropic gradientcoherence
【基金】 国家高技术研究发展计划(“863”计划)项目(2012AA121301);国家自然科学基金资助项目(41222027);教育部博士点基金资助项目(20130162110015);湖南省杰出青年基金资助项目(13JJ1006);湖南省教育厅平台开放基金资助项目(12K010)
  • 【文献出处】 中南大学学报(自然科学版) ,Journal of Central South University(Science and Technology) , 编辑部邮箱 ,2014年08期
  • 【分类号】P204
  • 【被引频次】1
  • 【下载频次】123
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