An algorithm of extracting skylines based on point cloud data

Qin Zong; Yanxia Liu; Wenping Liu; Shuhui Jiang

doi:10.1117/12.3007382

30 August 2023 An algorithm of extracting skylines based on point cloud data

Qin Zong, Yanxia Liu, Wenping Liu, Shuhui Jiang

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127971Z (2023) https://doi.org/10.1117/12.3007382
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

The algorithm of extracting skylines are mostly two-dimensional image processing methods, which are lack of geographic information in current. This paper, a skyline extraction algorithm based on airborne LiDAR point cloud data is proposed. Through the optimization of the EDL algorithm, the shading function is calculated using the projected depth data and applied to color scene images to synthesize a more three-dimensional and realistic point cloud. Through the application in the laser scanning project of Wuhan city, the skyline of key urban areas was extracted and made into a thematic atlas. The results showed that the algorithm can quickly extract the skyline, and the quality of the results meets the requirements.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qin Zong, Yanxia Liu, Wenping Liu, and Shuhui Jiang "An algorithm of extracting skylines based on point cloud data", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127971Z (30 August 2023); https://doi.org/10.1117/12.3007382

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KEYWORDS

Point clouds

Buildings

LIDAR

3D image processing

Data modeling

Detection and tracking algorithms

Roads

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