| InSAR干涉图最优化方向融合滤波 |
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| 引用本文： | 尹宏杰,李志伟,丁晓利,蒋弥,孙倩,王平.InSAR干涉图最优化方向融合滤波[J].遥感学报,2009,13(6):1099-1113. |
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| 作者姓名： | 尹宏杰 李志伟 丁晓利 蒋弥 孙倩 王平 |
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| 作者单位： | 1. 中南大学,测绘与国土信息工程系,湖南,长沙,410083
2. 香港理工大学,土地测量与地理资讯学系,香港,九龙 |
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| 基金项目： | 国家自然科学基金(编号: 40774003, 40404001); 国家863专题项目(编号: 2006AA12Z156); 国家西部1:50000空白区测图工程2007年度研究课题; 湖南省国土资源厅矿产资源保护与合理开发利用科研项目, 中南大学研究生教育创新工程(编号: 2009ssxt173, 1343- 74334000023)。 |
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| 摘 要： | 在分析干涉条纹图噪声特征的基础上, 提出了一种能有效保持干涉图条纹的边缘和细节信息的InSAR干涉图滤波算法——基于最优化融合的自适应方向平滑算法。该算法首先对8个线性方向窗口进行统计分析, 然后根据干涉图的相干性选择合适的线性方向窗口, 按照最优化融合的方法, 以方差倒数为权重对各个方向窗口的均值进行加权平均。模拟和真实干涉图数据的实验结果表明新方法不仅能有效的抑制干涉图噪声, 而且能较好的保持干涉图的细节和边缘信息, 具有很好的信息保持能力。
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| 关 键 词： | 最优化融合 方向平滑 InSAR干涉图 边缘保持 自适应滤波 |
| 收稿时间： | 2008/8/22 0:00:00 |
| 修稿时间： | 2008/11/18 0:00:00 |
Optimal integration-based adaptive direction filter for InSAR interferogram |
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| YIN Hong-jie,LI Zhi-wei,DING Xiao-li,JIANG Mi,SUN Qian and WANG Ping.Optimal integration-based adaptive direction filter for InSAR interferogram[J].Journal of Remote Sensing,2009,13(6):1099-1113. |
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| Authors: | YIN Hong-jie LI Zhi-wei DING Xiao-li JIANG Mi SUN Qian and WANG Ping |
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| Affiliation: | 1. School of Info-Physics and Geomatics Engineering, Central South University, Hunan, Changsha 410083, China; 2. Dept. of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China;1. School of Info-Physics and Geomatics Engineering, Central South University, Hunan, Changsha 410083, China; 2. Dept. of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China;1. School of Info-Physics and Geomatics Engineering, Central South University, Hunan, Changsha 410083, China; 2. Dept. of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China;1. School of Info-Physics and Geomatics Engineering, Central South University, Hunan, Changsha 410083, China; 2. Dept. of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China;1. School of Info-Physics and Geomatics Engineering, Central South University, Hunan, Changsha 410083, China; 2. Dept. of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China;1. School of Info-Physics and Geomatics Engineering, Central South University, Hunan, Changsha 410083, China; 2. Dept. of Land Surveying & Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, China |
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| Abstract: | In this paper, we present a new InSAR phase filtering method based on optimal integration. The algorithms can preserve very well the phase details while at the same time smoothing out the noise. Firstly, we use statistical method to determine the number of windows used for the filtering. It is an empirical constant associated with coherence. Secondly, eight linear directional windows are singled out, within each window a filtering is performed, and at the same time the mean coherence for each window is calculated. The proposed filtering will linearly combine a certain number (which has been determined in the first step) of the eight directional windows. However, directional windows with smaller filtering standard deviation will be given priority. Finally, the new phase value is calculated in terms of the weighted mean value of chosen linear windows. In this step, optimal integration is used to determine the weight of each directional window. The proposed filter is adaptively implemented by altering the number of the linear windows selected for filtering according to the coherence. Strategy of using both linear windows and optimal integration makes great difference in the filtering and achieve a good tradeoff between phase noise suppressing and sig-nal preserving. Experimental results with both simulated and real data sets show that the new filter reduces the noise effectively while still minimizing the loss of signals. |
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| Keywords: | optimal integration direction smoothing InSAR Interferogram edge preservation adaptive filter |
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