130 citations · 243 across the 7 of their papers we have counts for
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cs.CV2019★ 61 cited
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
Xiang Li, Mingyang Wang, Congcong Wen +3
To better address challenging issues of the irregularity and inhomogeneity inherently present in 3D point clouds, researchers have been shifting their focus from the design of hand…
cs.CV2019★ 130 cited
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
Congcong Wen, Lina Yang, Ling Peng +2
Point cloud classification plays an important role in a wide range of airborne light detection and ranging (LiDAR) applications, such as topographic mapping, forest monitoring, pow…