A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan)

Earthquakes and heavy rainfalls are the two leading causes of landslides around the world. Since they often occur across large areas, landslide detection requires rapid and reliable automatic detection approaches. Currently, deep learning (DL) approaches, especially different convolutional neural ne...

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Detalles Bibliográficos
Autores principales: Ghorbanzadeh, Omid, Crivellari, Alessandro, Ghamisi, Pedram, Shahabi, Hejar, Blaschke, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285525/
https://www.ncbi.nlm.nih.gov/pubmed/34272463
http://dx.doi.org/10.1038/s41598-021-94190-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285525/
https://www.ncbi.nlm.nih.gov/pubmed/34272463
http://dx.doi.org/10.1038/s41598-021-94190-9

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