文献类型：会议论文

英文题名：Point cloud segmentation of gully based on characteristic difference using airborne LIDAR data

作者：Xu, Ying[1,2]; Yue, Dongjie[2]; He, Peipei[3]

第一作者：许莹;Xu, Ying

通讯作者：Xu, Ying

机构：[1] Institute of Resources and Environment, Henan University of Economics and Law, Zhengzhou, China; [2] School of Earth Sciences and Engineering, Hohai University, NanJing, China; [3] Institute of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou, China

第一机构：河南财经政法大学

会议日期：September 18, 2017 - September 22, 2017

会议地点：Wuhan, China

语种：英文

外文关键词：Image segmentation - Optical radar

摘要：The point cloud segmentation of gullies with high accuracy lays the groundwork for the gully parameter extraction and developing models. A point cloud segmentation method of gullies based on characteristic difference from airborne LIDAR is proposed. Firstly, point cloud characteristics of gullies are discussed, and then differences in surface features are obtained based on different scales after preprocessing of the point cloud. Initial gullies are segmented from point clouds combined with a curvature threshold. Finally, real gully point clouds are obtained based on the clustering analysis. The experimental results demonstrate that gullies can be detected accurately with airborne LIDAR point clouds, and this method provides a new idea for quantitative evaluation of gullies. ? Authors 2017. CC BY 4.0 License.