Share Email Print
cover

Proceedings Paper

Segmentation of building facades from vehicle-borne laser scanning data based on mathematical morphology
Author(s): Yonglin Shen; Yehua Sheng
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Recently vehicle-borne laser scanning system equipped with linear array laser scanner, GPS and INS has played an important role on the acquisition of urban spatial data. In this paper, a method was proposed for the segmentation of building facades from vehicle-borne laser scanning data in the outdoor urban environment, which contains five steps including 1) preliminary filtering with depth histogram analysis; 2) binarization of point cloud; 3) mathematical morphology processing of binary image; 4) segmentation of binary image and 5) extracting building façades with the mapping relationships of vehicle-borne laser scanning data and binary image. Depth histogram analysis, calculation of grid size and determination of the number of dilation were described in detail. Finally, an experimental study was made to demonstrate the feasibility of the proposed method for the segmentation of urban building facades.

Paper Details

Date Published: 3 November 2010
PDF: 8 pages
Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 784107 (3 November 2010); doi: 10.1117/12.873154
Show Author Affiliations
Yonglin Shen, Nanjing Normal Univ. (China)
Beijing Normal Univ. (China)
Yehua Sheng, Nanjing Normal Univ. (China)


Published in SPIE Proceedings Vol. 7841:
Sixth International Symposium on Digital Earth: Data Processing and Applications
Huadong Guo; Changlin Wang, Editor(s)

© SPIE. Terms of Use
Back to Top