Patch-Based Change Detection Method for SAR Images with Label Updating Strategy

Patch-Based Change Detection Method for SAR Images with Label Updating Strategy

Convolutional neural networks (CNNs) have been widely used in change detection of synthetic aperture radar (SAR) images and have been proven to have better precision than traditional methods. A two-stage patch-based deep learning method with a label updating strategy is proposed in this paper. The i...

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Bibliographic Details
Main Authors: Yuanjun Shu, Wei Li, Menglong Yang, Peng Cheng, Songchen Han
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
change detection
multilayer fusion convolutional neural network
end-to-end learning
updating strategy
synthetic aperture radar (SAR)
Online Access:https://www.mdpi.com/2072-4292/13/7/1236

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