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Partition of GB-InSAR deformation map based on dynamic time warping and k-means

Partition of GB-InSAR deformation map based on dynamic time warping and k-means

作     者:TIAN Weiming DU Lin DENG Yunkai DONG Xichao TIAN Weiming;DU Lin;DENG Yunkai;DONG Xichao

作者机构:Radar Research LabSchool of Information and ElectronicsBeijing Institute of TechnologyBeijing 100081China Key Laboratory of Electronic and Information Technology in Satellite Navigation(Beijing Institute of Technology)Ministry of EducationBeijing 100081China School of Information and ElectronicsBeijing Institute of TechnologyBeijing 100081China Beijing Institute of Technology Chongqing Innovation CentreChongqing 401120China Advanced Technology Research InstituteBeijing Institute of TechnologyJi'nan 250300China 

出 版 物:《Journal of Systems Engineering and Electronics》 (系统工程与电子技术(英文版))

年 卷 期:2022年第33卷第4期

页      面:907-915页

核心收录:

学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0709[理学-地质学] 0819[工学-矿业工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0703[理学-化学] 

基  金:supported by the National Natural Science Foundation of China(61971037,61960206009,61601031) the Natural Science Foundation of Chongqing,China(cstc2020jcyj-msxm X0608,cstc2020jcyj-jq X0008)。 

主  题:ground-based interferometric synthetic aperture radar(GB-InSAR) deformation map partition dynamic time warping(DTW) k-means 

摘      要:Ground-based interferometric synthetic aperture radar(GB-InSAR)can take deformation measurement with a high accuracy.Partition of the GB-InSAR deformation map benefits analyzing the deformation state of the monitoring scene better.Existing partition methods rely on labelled datasets or single deformation feature,and they cannot be effectively utilized in GBInSAR applications.This paper proposes an improved partition method of the GB-InSAR deformation map based on dynamic time warping(DTW)and k-means.The DTW similarities between a reference point and all the measurement points are calculated based on their time-series deformations.Then the DTW similarity and cumulative deformation are taken as two partition features.With the k-means algorithm and the score based on multi evaluation indexes,a deformation map can be partitioned into an appropriate number of classes.Experimental datasets of West Copper Mine are processed to validate the effectiveness of the proposed method,whose measurement points are divided into seven classes with a score of 0.3151.

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