InSAR imaging based on L1 regularisation joint reconstruction via complex approximated message passing. Issue 4 (1st February 2018)

• Record Type: Journal Article
• Authors: Wu, Chenyang; Wei, Zhonghao; Bi, Hui; Zhang, Bingchen; Lin, Yun; Hong, Wen
• Is Part Of: Electronics letters. Volume 54:Issue 4(2018)
• Page Start: 237
• Page End: 239
• Publication Date: 2018-02-01
• Subjects: synthetic aperture radar -- radar interferometry -- radar imaging -- image reconstruction -- message passing -- image denoising -- phase noise -- geophysical image processing -- remote sensing by radar; InSAR imaging -- L1 regularisation joint reconstruction -- complex approximated message passing -- interferometric synthetic aperture radar imaging method -- CAMP -- background information preservation -- interferometric phase difference information -- multiple channels -- interferometric phase noise reduction performance improve -- interference fringe continuity; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2017.3906
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : 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.