Spatiotemporal Enhancement and Interlevel Fusion Network for Remote Sensing Images Change Detection
Author:
Affiliation:
1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
2. School of Resource and Environment Sciences, Wuhan University, Wuhan, China
Funder
National Nature Science Foundation of China
Open Fund of Hubei Luojia Laboratory
Fundamental Research Funds for the Central Universities
Knowledge Innovation Program of Wuhan-Shugung Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10419228.pdf?arnumber=10419228
Reference55 articles.
1. Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks
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4. Operational earthquake-induced building damage assessment using CNN-based direct remote sensing change detection on superpixel level
5. Review ArticleDigital change detection methods in ecosystem monitoring: a review
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