DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images

DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images

The use of remote sensing images to detect forest changes is of great significance for forest resource management. With the development and implementation of deep learning algorithms in change detection, a large number of models have been designed to detect changes in multi-phase remote sensing imag...

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Bibliographic Details
Main Authors:	Jiawei Jiang, Yuanjun Xing, Wei Wei, Enping Yan, Jun Xiang, Dengkui Mo
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Remote Sensing
Subjects:	Sentinel-1 Sentinel-2 forest change detection deep learning
Online Access:	https://www.mdpi.com/2072-4292/14/19/5046

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