Classification and Segmentation of Mining Area Objects in Large-Scale Spares Lidar Point Cloud Using a Novel Rotated Density Network

The classification and segmentation of large-scale, sparse, LiDAR point cloud with deep learning are widely used in engineering survey and geoscience. The loose structure and the non-uniform point density are the two major constraints to utilize the sparse point cloud. This paper proposes a lightwei...

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Bibliographic Details

Published in:	ISPRS International Journal of Geo-Information
Main Authors:	Yueguan Yan, Haixu Yan, Junting Guo, Huayang Dai
Format:	Article
Language:	English
Published:	MDPI AG 2020-03-01
Subjects:	lidar sparse point cloud deep learning classification segmentation
Online Access:	https://www.mdpi.com/2220-9964/9/3/182