Segmentation of building facades from vehicle-borne laser scanning data based on mathematical morphology

Yonglin Shen; Yehua Sheng

doi:10.1117/12.873154

3 November 2010 Segmentation of building facades from vehicle-borne laser scanning data based on mathematical morphology

Yonglin Shen, Yehua Sheng

Author Affiliations +

Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 784107 (2010) https://doi.org/10.1117/12.873154
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

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.

Citation Download Citation

Yonglin Shen and Yehua Sheng "Segmentation of building facades from vehicle-borne laser scanning data based on mathematical morphology", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 784107 (3 November 2010); https://doi.org/10.1117/12.873154

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