Automatic landslide identification by Dual Graph Convolutional Network and GoogLeNet model-a case study for Xinjiang province, China

Automatic landslide identification by Dual Graph Convolutional Network and GoogLeNet model-a case study for Xinjiang province, China

Landslides are a natural disaster that exists widely in the world and poses a great threat to human life and property, so it is of great importance to identify and locate landslides. Traditional manual interpretation can effectively identify landslides, but its efficiency is very low for large inter...

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Bibliographic Details
Main Authors: Shiwei Ma, Shouding Li, Xintao Bi, Hua Qiao, Zhigang Duan, Yiming Sun, Jingyun Guo, Xiao Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Earth Science
Subjects:
geological disaster
landslide identification
GoogLeNet model
Dual Graph Convolutional Network
model
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1248340/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1248340/full

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