Change Detection from SAR Images Based on Convolutional Neural Networks Guided by Saliency Enhancement

Change Detection from SAR Images Based on Convolutional Neural Networks Guided by Saliency Enhancement

Change detection is an important task in identifying land cover change in different periods. In synthetic aperture radar (SAR) images, the inherent speckle noise leads to false changed points, and this affects the performance of change detection. To improve the accuracy of change detection, a novel...

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Bibliographic Details
Main Authors: Liangliang Li, Hongbing Ma, Zhenhong Jia
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
synthetic aperture radar image
change detection
saliency detection
convolutional-wavelet neural networks
hierarchical fuzzy c-means
Online Access:https://www.mdpi.com/2072-4292/13/18/3697

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https://www.mdpi.com/2072-4292/13/18/3697

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