Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 935-939, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-935-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Sep 2017
“SLICE-ITERATION”, A METHOD FOR AUTOMATIC EXTRATION OF VEHICLE LASER POINT CLOUD
Z. Wei1,2, X. Chen1,2, H. Ma1,2, and R. Zhong1 1Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China
2Chinese Academy of Surveying and Mapping, Beijing 100830, China
Keywords: Vehicle-borne laser point cloud, Automatic extraction, Axial clustering, Slice-Iteration, Interactive editing Abstract. In this paper a method “slicing-iteration” is proposed to realize automatic extraction of vehicle-borne laser point cloud, the main steps are as follows: (1) Confirm ground reference surface; (2) Dividing points: taking points at certain height range above reference surface, divide them by certain cell size (such as 0.1 m) and record points number of every cell; (3) Forming polyline: based on the number, for every cell, axially cluster is made, then find a neighbor with most similar number and form the two-point-line, further forming a polyline; (4) Iteration: dividing points and forming polyline can be conduct at different height range and by x/y axis, so as many features aspossible can be extracted. The method can also be used in half-automatic boundary extraction. Experiments show that the method in thepaper is easy to use, highly adaptive, with good extraction result.
Conference paper (PDF, 1843 KB)


Citation: Wei, Z., Chen, X., Ma, H., and Zhong, R.: “SLICE-ITERATION”, A METHOD FOR AUTOMATIC EXTRATION OF VEHICLE LASER POINT CLOUD, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 935-939, https://doi.org/10.5194/isprs-archives-XLII-2-W7-935-2017, 2017.

BibTeX EndNote Reference Manager XML