A Novel Adaptive InSAR Phase Filtering Method Based on Complexity Factors  

作　　者：XU Huaping WANG Yuan LI Chunsheng ZENG Guobing LI Shuo LI Shuang REN Chong 

机构地区：[1]School of Electronic and Information Engineering,Beihang University,Beijing 100191,China [2]Nanjing Research Institute of Electronics Technology,Nanjing 211113,China [3]Beijing Institute of Radio Measurement,Beijing 100191,China [4]China Academy of Launch Vehicle Technology,Beijing 100076,China

出　　处：《Chinese Journal of Electronics》2023年第5期1089-1105,共17页电子学报（英文版）

基　　金：supported by the Shanghai Aerospace Science and Technology Innovation Fund(SAST2019-026)。

摘　　要：Phase filtering is an essential step in interferometric synthetic aperture radar(InSAR)imaging.For interferograms of complicated and changeable terrain,the increasing resolution of InSAR images makes it even more difficult.In this paper,a novel adaptive InSAR phase filtering method based on complexity factors is proposed.Firstly,three complexity factors based on the noise distribution and terrain slope information of the interferogram are selected.The complexity indicator composed of three complexity factors is used to guide the adaptive selection of the most suitable and effective filtering strategies for different areas.Then,the complexity scalar is calculated,which can guide the adaptive local fringe frequency estimation and adaptive parameters calculation in different filter methods.Finally,validations are performed on the simulated and real data.The performance comparison between the other three representative phase filtering method and the proposed method have validated the effectiveness and superiority of the proposed method.

关 键 词：Interferometric synthetic aperture radar ADAPTIVE Phase filtering Complexity Factors Local fringe frequency(LFF) 

分 类 号：TN957.51[电子电信—信号与信息处理]