Airborne LiDAR feature selection for urban classification using random forests

Abstract

To the question that multisource features' contribution to classification is not explicit in airborne LiDAR system data, based on object oriented data mining, this paper proposed a method to select features for classification using Random Forest. It's proved that the features' contribution can be evaluated correctly and the selected features can still make a high classification accuracy.