SAR Image Despeckling Based on Block-Matching and Noise-Referenced Deep Learning Method

SAR Image Despeckling Based on Block-Matching and Noise-Referenced Deep Learning Method

The noise2noise-based despeckling method, capable of training the despeckling deep neural network with only noisy synthetic aperture radar (SAR) image, has presented very good performance in recent research. This method requires a fine-registered multi-temporal dataset with minor time variance and u...

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Bibliographic Details
Main Authors: Chen Wang, Zhixiang Yin, Xiaoshuang Ma, Zhutao Yang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
block matching
convolutional neural network (CNN)
deep learning
speckle filtering
synthetic aperture radar (SAR)
image similarity
Online Access:https://www.mdpi.com/2072-4292/14/4/931

Internet

https://www.mdpi.com/2072-4292/14/4/931

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