Sparse SAR Imaging and Quantitative Evaluation Based on Nonconvex and TV Regularization

Sparse SAR Imaging and Quantitative Evaluation Based on Nonconvex and TV Regularization

Sparse signal processing has been used in synthetic aperture radar (SAR) imaging due to the maturity of compressed sensing theory. As a typical sparse reconstruction method, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantic...

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Bibliographic Details
Main Authors: Zhongqiu Xu, Bingchen Zhang, Guoru Zhou, Lihua Zhong, Yirong Wu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
sparse SAR imaging
nonconvex and TV regularization
image quality assessment
radiometric property
spatial resolution
Online Access:https://www.mdpi.com/2072-4292/13/9/1643

Internet

https://www.mdpi.com/2072-4292/13/9/1643

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