An Adaptive Spatial Filtering Algorithm Based On Nonlocal Mean Filtering For GNSS-based InSAR

Runze Shang*, Feifeng Liu, Zhanze Wang, Jian Gao, Jingtian Zhou, Di Yao*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

3D deformation retrieval can be achieved through joint using different navigation satellites as the transmitters in Global navigation satellite system(GNSS)-based InSAR systems. However, multi-source errors will seriously reduce the deformation retrieval accuracy. In this paper, an adaptive spatial filtering algorithm based on nonlocal mean filtering is proposed for GNSS-based InSAR system. First, the search area is introduced to describe the areas where deformations interact with each other based on the persistent scatter point. Then, the 3D deformation retrieval accuracy is improved based on the nonlocal mean filtering for the selected Permanent Scatterers. The raw data from eight Beidou satellites are used to prove the effectiveness of the proposed algorithm.

源语言英语
主期刊名2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781665469722
DOI
出版状态已出版 - 2022
活动2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 - Xi'an, 中国
期限: 25 10月 202227 10月 2022

出版系列

姓名2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

会议

会议2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
国家/地区中国
Xi'an
时期25/10/2227/10/22

指纹

探究 'An Adaptive Spatial Filtering Algorithm Based On Nonlocal Mean Filtering For GNSS-based InSAR' 的科研主题。它们共同构成独一无二的指纹。

引用此