Characterization and Mitigation of RFI Artifacts in Operationally Processed LuTan-1 Imagery

Yifei Liu, Mingliang Tao, Tao Li, Yanyang Liu, Junli Chen

科研成果: 期刊稿件会议文章同行评审

1 引用 (Scopus)

摘要

LuTan-l satellite is China's first L-band distributed spaceborne interferometric synthetic aperture radar (InSAR) mission, serving land resource management, mapping, forestry, and disaster preparedness purposes. However, the presence of radio frequency interference (RFI) in the shared L-band spectrum poses a significant threat to obtaining a high-quality digital elevation model (DEM) and deformation monitoring. This paper examines RFI issues in LuTan-1 InSAR mission, derives interference echo model, and analyses adverse impact on interferometric coherence. An automated RFI detection and mitigation pipeline is proposed for the Lutan-1 ground processing system, capable of managing massive image datasets without manual tuning parameters. Experiments with real LuTan-1 mission data, including various scenarios and RFI instances, demonstrate the proposed scheme's effectiveness in eliminating RFI artifacts and improving image quality and coherence. This solution has been integrated into LuTan-1's processing pipeline for practical use.

源语言英语
页(从-至)2841-2844
页数4
期刊IET Conference Proceedings
2023
47
DOI
出版状态已出版 - 2023
活动IET International Radar Conference 2023, IRC 2023 - Chongqing, 中国
期限: 3 12月 20235 12月 2023

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