Random forest in remote sensing: A review of applications and future directions

A random forest (RF) classifier is an ensemble classifier that produces multiple decision trees, using a randomly selected subset of training samples and variables. This classifier has become popular within the remote sensing community due to the accuracy of its classifications. The overall objectiv...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	ISPRS journal of photogrammetry and remote sensing 2016-04, Vol.114, p.24-31
Hauptverfasser:	Belgiu, Mariana, Drăguţ, Lucian
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Classifiers Communities Decision trees Ensemble classifier Feature selection Random forest Remote sensing Review Sampling Seasons Supervised classifier Training
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!