Volume XLII-2/W7
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.
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

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 Z. Wei et al.
  • 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.