Application of Transformer Models to Landslide Susceptibility Mapping

Landslide susceptibility mapping (LSM) is of great significance for the identification and prevention of geological hazards. LSM is based on convolutional neural networks (CNNs); CNNs use fixed convolutional kernels, focus more on local information and do not retain spatial information. This is a pr...

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Detalles Bibliográficos
Autores principales: Bao, Shuai, Liu, Jiping, Wang, Liang, Zhao, Xizhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735583/
https://www.ncbi.nlm.nih.gov/pubmed/36501806
http://dx.doi.org/10.3390/s22239104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735583/
https://www.ncbi.nlm.nih.gov/pubmed/36501806
http://dx.doi.org/10.3390/s22239104

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