Persistent Scatterer Detection Method Based on Empirical Mode Decomposition

被引：0
|
作者：
Huang C. [1 ,2 ]
Hu J. [3 ]
Yang Y. [1 ]
机构：
[1] School of Municipal and Surveying Engineering, Hunan City University, Yiyang, 413000, Hunan
[2] School of Geosciences and Info-Physics, Central South University, Changsha, 410083, Hunan
[3] School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, Hubei
来源：
Guangxue Xuebao/Acta Optica Sinica | 2019年 / 39卷 / 05期
关键词：
Empirical mode decomposition; Noise phase; Persistent scatterer; Probability statistics; Remote sensing; Synthetic aperture radar;
D O I：
10.3788/AOS201939.0528006
中图分类号：
学科分类号：
摘要：
In this study, an improved method based on empirical mode decomposition is proposed for the detection of persistent scatterers (PSs). The interferograms are decomposed from different angles, and noises contained in the decomposed intrinsic mode function (IMF) are strongly filtered in the low signal-to-noise ratio regions and weakly filtered in the high signal-to-noise ratio regions based on gradient adaptive filtering; the noise phase of each persistent scatterer candidate (PSC) point is estimated after filtering. Based on the stability of the amplitude and the phase of each PSC point, the phase information of the selected PSC point is analyzed to determine its probability of being a PS point, and the reliable PS points are selected. The experimental results denote that the proposed method avoids misjudgment and omission possibilities in the process of PS point detection with higher accuracy when compared to that exhibited by the traditional PS point detection method. © 2019, Chinese Lasers Press. All right reserved.
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