DeepInSAR—A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation

Over the past decade, using Interferometric Synthetic Aperture Radar (InSAR) remote sensing technology for ground displacement detection has become very successful. However, during the acquisition stage, microwave signals reflected from the ground and received by the satellite are contaminated, for...

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Bibliographic Details

Main Authors:	Xinyao Sun, Aaron Zimmer, Subhayan Mukherjee, Navaneeth Kamballur Kottayil, Parwant Ghuman, Irene Cheng
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2020-07-01
Series:	Remote Sensing
Subjects:	interferometric synthetic aperture radar (InSAR) deep learning CNN denseNet phase noise reduction coherence estimation
Online Access:	https://www.mdpi.com/2072-4292/12/14/2340
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