Adaptive Fusion NestedUNet for Change Detection Using Optical Remote Sensing Images
Author:
Affiliation:
1. School of Artificial Intelligence, Henan University, Zhengzhou, China
2. School of Physics and Electrical Engineering, Weinan Normal University, Weinan, China
Funder
Programs for Science and Technology Development of Henan Province, China
Key Research Projects of the University in Henan Province, China
Weinan Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10145580.pdf?arnumber=10145580
Reference57 articles.
1. Supervised change detection in VHR images using contextual information and support vector machines
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3. The Regularized Iteratively Reweighted MAD Method for Change Detection in Multi- and Hyperspectral Data
4. Changedetection.net: A new change detection benchmark dataset
5. A new change-detection method in high-resolution remote sensing images based on a conditional random field model
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