Urban environment 3D studies by automated feature extraction from LiDAR point clouds

Keywords: LiDAR, lidar data, urban environment, AFE, building model, web-GIS-application, geoportal

Abstract

Research problem introduction. Both a number of necessities that require the novel technological introductions in urban studies and the challengers corresponding to these introductions have been outlined with the emphasis on the urban remote sensing tools. The research goal of this text is to outline the authors’ original contribution to the algorithmic content of the automated feature extraction upon the urban environment modeling, as well as to represent the original web-software for urban studies.

AFE methods in the building detection, extraction and 3D reconstruction within the LiDAR pipeline: a thematic overview. The overall AFE algorithmic approach has been summarized proceeding from an extensional literature review due to the feature extraction from raw lidar data. A sample of the composite model of an urban feature extracted, the overall AFE algorithmic flowchart, and few MSL processed results have been visualized. Feature detection, classification, segmentation and reconstruction have been presented as constituents of the united LiDAR pipeline.

EOS LiDAR Tool (ELiT) and our key original algorithmic approaches to the AFE issues. The web-software has been developed on the base of the outlined multifunctional research approach. This software has several basic functionalities within the distributed information system: building extraction, building extraction in rural areas, change detection, and digital elevation model generation. Two basic algorithmic approaches implemented in the software have been explained in details: High Polyhedral Modeling provided by the Building Extraction tool, and Low Polyhedral Modeling provided by the Building Extraction Rural Area tool. The extensive usage of the Voronoi diagram for cluster adjacency on the finalizing modeling stage has been provided as our original update of the existing LPM methodology: its applying for the roof cluster adjacency determination and for separation of coplanar clusters, applying limited diagram for avoiding side effects of adjacency determination, its applying for the awning / overhand identification.

ELiT Geoportal. The EGP has been depicted as a type of web portal used to find, access, and process LiDAR geospatial both primary, and derivative information, as well as to provide the associated geographic services (display, editing, analysis, etc.) via the Internet. The key characteristics of our Geoportal have been listed as well as some illustrations provided for the uploaded projects.

Conclusion and future works. The automated feature extraction from lidar data technique has been presented with the authors’ updates as a highly promising solution for the multicomponent simulation of urban environment, that can be used for different applications for cities. The use-cases for the EGP have been outlined as hot issues: Population estimation with building geometries; Energy demand for heating and cooling; Visibility analysis in urban environment.

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Author Biographies

Sergiy Vasylovych Kostrikov, V. N. Karazin Kharkiv National University

Doctor of Sciences (Geography), Professor

Dmytro Yevgenovych Bubnov, EOS Data Analitics Ukraine, LLC

Scientist and Senior Programmer

Rostyslav Anatoliyovych Pudlo, EOS Data Analitics Ukraine, LLC

R&D Team Leader

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Published
2020-07-07
Cited
How to Cite
Kostrikov, S. V., Bubnov, D. Y., & Pudlo, R. A. (2020). Urban environment 3D studies by automated feature extraction from LiDAR point clouds. Visnyk of V. N. Karazin Kharkiv National University, Series "Geology. Geography. Ecology", (52), 156-181. https://doi.org/10.26565/2410-7360-2020-52-12