Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network

20 Apr 2020Congcong WenXiang LiXiaojing YaoLing PengTianhe Chi

Airborne light detection and ranging (LiDAR) plays an increasingly significant role in urban planning, topographic mapping, environmental monitoring, power line detection and other fields thanks to its capability to quickly acquire large-scale and high-precision ground information. To achieve point cloud classification, previous studies proposed point cloud deep learning models that can directly process raw point clouds based on PointNet-like architectures... (read more)

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