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NTIS 바로가기Remote sensing, v.14 no.11, 2022년, pp.2552 -
Dong, Zhangyu (School of Computer and Information, Hefei University of Technology, Hefei 230601, China) , An, Sen (School of Computer and Information, Hefei University of Technology, Hefei 230601, China) , Zhang, Jin (School of Computer and Information, Hefei University of Technology, Hefei 230601, China) , Yu, Jinqiu (School of Computer and Information, Hefei University of Technology, Hefei 230601, China) , Li, Jinhui (School of Computer and Information, Hefei University of Technology, Hefei 230601, China) , Xu, Daoli (School of Computer and Information, Hefei University of Technology, Hefei 230601, China)
At present, it is challenging to extract landslides from high-resolution remote-sensing images using deep learning. Because landslides are very complex, the accuracy of traditional extraction methods is low. To improve the efficiency and accuracy of landslide extraction, a new model is proposed base...
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