A Supervoxel-Based Random Forest Method for Robust and Effective Airborne LiDAR Point Cloud Classification.
Lingfeng LiaoShengjun TangJianghai LiaoXiaoming LiWeixi WangYaxin LiRenzhong GuoPublished in: Remote. Sens. (2022)
Keyphrases
- random forest
- point cloud
- feature set
- classification accuracy
- decision trees
- support vector machine svm
- lidar data
- data sets
- machine learning methods
- support vector machine
- machine learning algorithms
- test data
- feature vectors
- similarity measure
- laser scanner
- text classification
- training samples
- optimization method
- random forests
- machine learning