Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network

Landslide susceptibility prediction (LSP) modeling is an important and challenging problem. Landslide features are generally uncorrelated or nonlinearly correlated, resulting in limited LSP performance when leveraging conventional machine learning models. In this study, a deep-learning-based model u...

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Detalles Bibliográficos
Autores principales: Zhu, Li, Huang, Lianghao, Fan, Linyu, Huang, Jinsong, Huang, Faming, Chen, Jiawu, Zhang, Zihe, Wang, Yuhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146231/
https://www.ncbi.nlm.nih.gov/pubmed/32178235
http://dx.doi.org/10.3390/s20061576

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146231/
https://www.ncbi.nlm.nih.gov/pubmed/32178235
http://dx.doi.org/10.3390/s20061576

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