An unsupervised building footprints delineation approach for large-scale LiDAR point clouds-Reference-Cited by-同舟云学术

An unsupervised building footprints delineation approach for large-scale LiDAR point clouds

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th International Conference on Advances in Geographic Information Systems
language:
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Author:

Xu Xin¹

Affiliation:

1. University of Maryland at College Park

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3557915.3565986

Reference11 articles.

1. Virtual Cities

2. Height and Facet Extraction from LiDAR Point Cloud for Automatic Creation of 3D Building Models

3. Herbert Edelsbrunner. 2011. Alpha shapes-a survey. In Tessellations in the Sciences: Virtues Techniques and Applications of Geometric Tilings. Herbert Edelsbrunner. 2011. Alpha shapes-a survey. In Tessellations in the Sciences: Virtues Techniques and Applications of Geometric Tilings.

4. RD Hobson. 1972. Surface roughness in topography: quantitative approach. Methuen. RD Hobson. 1972. Surface roughness in topography: quantitative approach. Methuen.

5. Martin Isenburg. 2022. LAStools---Efficient tools for LiDAR processing. https://github.com/LAStools/LAStools Martin Isenburg. 2022. LAStools---Efficient tools for LiDAR processing. https://github.com/LAStools/LAStools

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reproducible Extraction of Building Footprints from Airborne LiDAR Data: A Demo Paper;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13

2. ACM SIGSPATIAL GISCUP 2022 Workshop Report: Extracting Building Footprints from LiDAR Point Clouds Seattle, Washington, USA, November 1, 2022;SIGSPATIAL Special;2022-11