Multiscale Residual Denoising Network for Robust InSAR Phase Reconstruction

Interferometric synthetic aperture radar (InSAR) phase denoising is essential for deformation monitoring and topographic mapping, yet it remains challenging due to the inherent tradeoff between denoising strength, structural preservation, and computational efficiency. Classical filters maintain phas...

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Autors principals:	Qi Zhang, Houjun Jiang, Teng Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Deep learning interferometric synthetic aperture radar (InSAR) interferogram denoising multiscale residual denoising network (MSRD-net) phase reconstruction
Accés en línia:	https://ieeexplore.ieee.org/document/11491853/
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