Using data-driven algorithms for semi-automated geomorphological mapping

In this paper, we compare the performance of two data-driven algorithms to deal with an automatic classification problem in geomorphology: Direct Sampling (DS) and Random Forest (RF). The main goal is to provide a semi-automated procedure for the geomorphological mapping of alpine environments, usin...

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Detalles Bibliográficos
Autores principales: Giaccone, Elisa, Oriani, Fabio, Tonini, Marj, Lambiel, Christophe, Mariéthoz, Grégoire
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463315/
https://www.ncbi.nlm.nih.gov/pubmed/36101651
http://dx.doi.org/10.1007/s00477-021-02062-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463315/
https://www.ncbi.nlm.nih.gov/pubmed/36101651
http://dx.doi.org/10.1007/s00477-021-02062-5

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