A Novel Adaptive In SAR Phase Filtering Method Based on Complexity Factors
作者机构：School of Electronic and Information Engineering Beihang University Nanjing Research Institute of Electronics Technology Beijing Institute of Radio Measurement China Academy of Launch Vehicle Technology
出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))
年 卷 期：2023年第32卷第5期
页 面：1089-1105页
核心收录：
学科分类：080904[工学-电磁场与微波技术] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：supported by the Shanghai Aerospace Science and Technology Innovation Fund (SAST2019-026)
主 题：Interferometric synthetic aperture radar Adaptive Phase filtering Complexity Factors Local fringe frequency (LFF)
摘 要：Phase filtering is an essential step in interferometric synthetic aperture radar(In SAR) imaging.For interferograms of complicated and changeable terrain,the increasing resolution of In SAR images makes it even more difficult. In this paper, a novel adaptive In SAR 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.
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