Blind Super-Resolution for SAR Images with Speckle Noise Based on Deep Learning Probabilistic Degradation Model and SAR Priors

Blind Super-Resolution for SAR Images with Speckle Noise Based on Deep Learning Probabilistic Degradation Model and SAR Priors

As an active microwave coherent imaging technology, synthetic aperture radar (SAR) images suffer from severe speckle noise and low-resolution problems due to the limitations of the imaging system, which cause difficulties in image interpretation and target detection. However, the existing SAR super-...

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Bibliographic Details
Main Authors: Chongqi Zhang, Ziwen Zhang, Yao Deng, Yueyi Zhang, Mingzhe Chong, Yunhua Tan, Pukun Liu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
blind super-resolution (SR)
cycle-GAN
generative adversarial networks (GAN)
probabilistic degradation model
Online Access:https://www.mdpi.com/2072-4292/15/2/330

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https://www.mdpi.com/2072-4292/15/2/330

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