Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 307-311, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-307-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
12 Sep 2017
POINT CLOUD SEGMENTATION OF GULLY BASED ON CHARACTERISTIC DIFFERENCE USING AIRBORNE LIDAR DATA
Y. Xu1,2, D. Yue2, and P. He3 1Institute of Resources and Environment, Henan University of Economics and Law, Zhengzhou, China
2School of Earth Sciences and Engineering, Hohai University, NanJing,China
3Institute of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou, China
Keywords: Gully, airborne LIDAR, point cloud, curvature, normal vector, segmentation Abstract. 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.
Conference paper (PDF, 6993 KB)


Citation: Xu, Y., Yue, D., and He, P.: POINT CLOUD SEGMENTATION OF GULLY BASED ON CHARACTERISTIC DIFFERENCE USING AIRBORNE LIDAR DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 307-311, https://doi.org/10.5194/isprs-archives-XLII-2-W7-307-2017, 2017.

BibTeX EndNote Reference Manager XML