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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Detalles Bibliográficos
Autores principales: Bao, Shuai, Liu, Jiping, Wang, Liang, Konečný, Milan, Che, Xianghong, Xu, Shenghua, Li, Pengpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823694/
https://www.ncbi.nlm.nih.gov/pubmed/36616685
http://dx.doi.org/10.3390/s23010088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823694/
https://www.ncbi.nlm.nih.gov/pubmed/36616685
http://dx.doi.org/10.3390/s23010088

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