Classification of airborne laser scanning data using JointBoost

@inproceedings{Guo2015ClassificationOA,
  title={Classification of airborne laser scanning data using JointBoost},
  author={Bo Guo and Xianfeng Huang and Fan Zhang and G. Sohn},
  year={2015}
}
Abstract The demands for automatic point cloud classification have dramatically increased with the wide-spread use of airborne LiDAR. Existing research has mainly concentrated on a few dominant objects such as terrain, buildings and vegetation. In addition to those key objects, this paper proposes a supervised classification method to identify other types of objects including power-lines and pylons from point clouds using a JointBoost classifier. The parameters for the learning model are… CONTINUE READING

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