Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery

Article

Abstract: Random forest is a classification technique widely used in remote sensing. One of its advantages is

Palabras claves:

Bagging, classification, Object-Based Image Analysis, random forest, Statistical independence

Autores:

Alonso-Sarría F., Cánovas-García F., Fernando Rodrigo Oñate Valdivieso, Fulgencio Jose Canovas Garcia, Gomariz-Castillo F.

Fuentes:

google

rraae

scopus