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基于Bootstrap区间估计的InSAR同质点探测方法研究
引用本文:刘恋,张磊.基于Bootstrap区间估计的InSAR同质点探测方法研究[J].测绘与空间地理信息,2020(2):96-98,101.
作者姓名:刘恋  张磊
作者单位:河海大学地球科学与工程学院;江苏省测绘工程院
摘    要:针对传统同质点探测方法 KS检验检验效率低的问题,提出一种利用伽马分布作为前验信息及Bootstrap区间估计探测同质点的方法,实验表明:本文提出的方法能够有效地探测完成同质点的探测,有效地提高了数据检验的效率,为相干性的无偏估计提供了较好的条件。

关 键 词:同质点  BOOTSTRAP  区间估计  INSAR

InSAR Homogeneous Detection Based on Bootstrap Interval Estimation
LIU Lian,ZHANG Lei.InSAR Homogeneous Detection Based on Bootstrap Interval Estimation[J].Geomatics & Spatial Information Technology,2020(2):96-98,101.
Authors:LIU Lian  ZHANG Lei
Institution:(School of Earth Science and Engineering,Hohai University,Nanjing 211000,China;Surveying and Mapping Engineering Institute of Jiangsu Province,Nanjing 210013,China)
Abstract:Aiming at the problem of low efficiency of traditional Homomorphic Detection(KS) test,this paper proposes a method for detecting Homogeneous points based on the gamma distribution and Bootstrap interval estimation. Experiments show that method this paper proposed can effectively detect high coherence point and can detect the same point of homogeneity. This method effectively improved the efficiency of data inspection and laid the foundation for unbiased coherence estimation.
Keywords:homogeneous statistically pixels  Bootstrap  interval estimation  InSAR
本文献已被 CNKI 维普 等数据库收录!
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