@inproceedings{8c9bb95e53f84de1922f02d93873c9f2,
title = "An Adaptive Phase Noise Filtering Approach for Multi-Frequency Interferometric SAR",
abstract = "Multi-frequency (MF) interferometric SAR (InSAR) provides an effective way for the surveying of steep terrains. Phase noise filtering is a key step in MF-InSAR processing which determines the quality of the interferograms and affects the accuracy of inversed elevation. Different from the traditional filtering method of single frequency (SF) InSAR, an adaptive filtering approach for MF-InSAR based on MF phase fusion is proposed in this paper. The main contributions of this method is summarized into two aspects. First, the local fringe frequency estimation (LFFE) is extended from SF to MF case. Second, the non-linear model is introduced in the adaptive phase filtering in the local window based on MF-LFFE to adapt to complex terrains. The computer simulation and the real dual-frequency airborne experiment validate the proposed approach.",
keywords = "interferometric SAR, local fringe frequency estimation, multi-frequency, phase noise filtering",
author = "Zhen Wang and Zegang Ding and Yan Wang and Xinnong Ma and Linghao Li and Tao Zeng",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 CIE International Conference on Radar, Radar 2021 ; Conference date: 15-12-2021 Through 19-12-2021",
year = "2021",
doi = "10.1109/Radar53847.2021.10028094",
language = "English",
series = "Proceedings of the IEEE Radar Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3295--3298",
booktitle = "2021 CIE International Conference on Radar, Radar 2021",
address = "United States",
}