Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil
Author:
Affiliation:
1. Universidade de São Paulo, Brazil; Universidade de São Paulo, Brazil
2. Universidade Estadual de Campinas, Brazil
3. Universidade de São Paulo, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
General Earth and Planetary Sciences
Link
http://www.scielo.br/pdf/bjgeo/v51n4/2317-4692-bjgeo-51-04-e20200105.pdf
Reference56 articles.
1. Analysis of maximum likelihood classification on multispectral data;Ahmad A.;Applied Mathematical Sciences,2012
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3. ALOS PALSAR_Radiometric_Terrain_Corrected_high_res; Includes Material JAXA/METI 2011,2020
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