Change Detection of Open-Pit Mine Based on Siamese Multiscale Network
Author:
Affiliation:
1. College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China
2. Institute of Remote Sensing and GIS, Peking University, Beijing, China
Funder
Fundamental Research Funds for the Central Universities
China Postdoctoral Science Foundation
National Natural Science Foundation of China
Yueqi Young Scholars Program of the China University of Mining and Technology at Beijing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10002353.pdf?arnumber=10002353
Reference27 articles.
1. SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images
2. FCCDN: Feature constraint network for VHR image change detection
3. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
4. Object-Oriented Open-Pit Mine Mapping Using Gaofen-2 Satellite Image and Convolutional Neural Network, for the Yuzhou City, China
5. A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images
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