Landslide Susceptibility Mapping by Fusing Convolutional Neural Networks and Vision Transformer

Landslide Susceptibility Mapping by Fusing Convolutional Neural Networks and Vision Transformer

Landslide susceptibility mapping (LSM) is an important decision basis for regional landslide hazard risk management, territorial spatial planning and landslide decision making. The current convolutional neural network (CNN)-based landslide susceptibility mapping models do not adequately take into ac...

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Bibliographic Details
Main Authors: Shuai Bao, Jiping Liu, Liang Wang, Milan Konečný, Xianghong Che, Shenghua Xu, Pengpeng Li
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
landslide
attention
convolution
deep learning
Online Access:https://www.mdpi.com/1424-8220/23/1/88

Internet

https://www.mdpi.com/1424-8220/23/1/88

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