access icon free InSAR imaging based on L1 regularisation joint reconstruction via complex approximated message passing

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.

Inspec keywords: image reconstruction; message passing; remote sensing by radar; geophysical image processing; radar interferometry; image denoising; synthetic aperture radar; radar imaging; phase noise

Other keywords: CAMP; interference fringe continuity; L1 regularisation joint reconstruction; background information preservation; interferometric phase noise reduction performance improve; InSAR imaging; interferometric synthetic aperture radar imaging method; interferometric phase difference information; complex approximated message passing; multiple channels

Subjects: Geophysical techniques and equipment; Data and information; acquisition, processing, storage and dissemination in geophysics; Optical, image and video signal processing; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Distributed systems software; Computer vision and image processing techniques; Geophysics computing; Radar equipment, systems and applications

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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.3906
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