Sun Jie, Lai Zulong. Airborne LiDAR Feature Selection for Urban Classification Using Random Forests[J]. Geomatics and Information Science of Wuhan University, 2014, 39(11): 1310-1313.
Citation:
Sun Jie, Lai Zulong. Airborne LiDAR Feature Selection for Urban Classification Using Random Forests[J]. Geomatics and Information Science of Wuhan University, 2014, 39(11): 1310-1313.
Sun Jie, Lai Zulong. Airborne LiDAR Feature Selection for Urban Classification Using Random Forests[J]. Geomatics and Information Science of Wuhan University, 2014, 39(11): 1310-1313.
Citation:
Sun Jie, Lai Zulong. Airborne LiDAR Feature Selection for Urban Classification Using Random Forests[J]. Geomatics and Information Science of Wuhan University, 2014, 39(11): 1310-1313.
Airborne LiDAR Feature Selection for Urban Classification Using Random Forests
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 beevaluated correctly and the selected features can still make a high classification accuracy.
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