Building outline detection based on height and intensity information of airborne laser scanning data

Chengyi Wang; Fuyuan Liang; Yi Zheng

doi:10.1117/12.898804

8 December 2011 Building outline detection based on height and intensity information of airborne laser scanning data

Chengyi Wang, Fuyuan Liang, Yi Zheng

Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 800202 (2011) https://doi.org/10.1117/12.898804
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Urban environment is extremely complex due to a multitude of features with different heights and structures. Traditional methods available to extract information regarding the buildings by using optical remote sensing images are highly labor-intensive and time-consuming. This paper developed a new method to detect building outlines based on height and intensity information of Airborne LiDAR data. Texture, relative height and intensity characteristics were first extracted from the LiDAR point cloud. Then, Support Vector Data Description was used to detect buildings with training knowledge. Finally, building outlines were obtained after data post process including small region removal, raster to vector conversion and so on. Experiments show the method proposed in this study is reliable and could be widely used in other urban areas.

Citation Download Citation

Chengyi Wang, Fuyuan Liang, and Yi Zheng "Building outline detection based on height and intensity information of airborne laser scanning data", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 800202 (8 December 2011); https://doi.org/10.1117/12.898804

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