Open AccessInSAR imaging based on L1 regularisation joint reconstruction via complex approximated message passing
Author(s) -
Wu Chenyang,
Wei Zhonghao,
Bi Hui,
Zhang Bingchen,
Lin Yun,
Hong Wen
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2017.3906
Subject(s) - interferometric synthetic aperture radar , interferometry , joint (building) , computer science , synthetic aperture radar , interference (communication) , noise (video) , noise reduction , algorithm , computer vision , artificial intelligence , optics , telecommunications , engineering , image (mathematics) , physics , architectural engineering , channel (broadcasting)
This Letter presents an interferometric synthetic aperture radar (InSAR) imaging method based on L1 regularisation joint reconstruction model via complex approximated message passing (CAMP). The proposed method enables to ensure the preservation of background information via CAMP and interferometric phase difference information among multiple channels via L1 regularisation joint reconstruction model. Compared with conventional matched filtering results, the proposed method can improve the performance of interferometric phase noise reduction and the continuity of interference fringes, which has broad application prospect in InSAR imaging. Experiments carried out on real data confirmed the effectiveness of the proposed method with improved performance.