A Coarse-to-Fine Deep Learning Based Land Use Change Detection Method for High-Resolution Remote Sensing Images

A Coarse-to-Fine Deep Learning Based Land Use Change Detection Method for High-Resolution Remote Sensing Images

In recent decades, high-resolution (HR) remote sensing images have shown considerable potential for providing detailed information for change detection. The traditional change detection methods based on HR remote sensing images mostly only detect a single land type or only the change range, and cann...

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Bibliographic Details
Main Authors: Mingchang Wang, Haiming Zhang, Weiwei Sun, Sheng Li, Fengyan Wang, Guodong Yang
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
coarse-to-fine
change detection
deep learning
land-use
high-resolution
Online Access:https://www.mdpi.com/2072-4292/12/12/1933

Internet

https://www.mdpi.com/2072-4292/12/12/1933

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