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Article

Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof

1
School of Surveying and Built Environment, Faculty of Health, Engineering and Sciences, University of Southern Queensland, Springfield Campus, Springfield, QLD 4300, Australia
2
Institute of Integrated and Intelligent Systems, Griffith University, Nathan, QLD 4111, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Andrea Ciampalini
Remote Sens. 2022, 14(2), 430; https://doi.org/10.3390/rs14020430
Received: 25 November 2021 / Revised: 31 December 2021 / Accepted: 13 January 2022 / Published: 17 January 2022
(This article belongs to the Special Issue New Tools or Trends for Large-Scale Mapping and 3D Modelling)
This paper suggests a new algorithm for automatic building point cloud filtering based on the Z coordinate histogram. This operation aims to select the roof class points from the building point cloud, and the suggested algorithm considers the general case where high trees are associated with the building roof. The Z coordinate histogram is analyzed in order to divide the building point cloud into three zones: the surrounding terrain and low vegetation, the facades, and the tree crowns and/or the roof points. This operation allows the elimination of the first two classes which represent an obstacle toward distinguishing between the roof and the tree points. The analysis of the normal vectors, in addition to the change of curvature factor of the roof class leads to recognizing the high tree crown points. The suggested approach was tested on five datasets with different point densities and urban typology. Regarding the results’ accuracy quantification, the average values of the correctness, the completeness, and the quality indices are used. Their values are, respectively, equal to 97.9%, 97.6%, and 95.6%. These results confirm the high efficacy of the suggested approach. View Full-Text
Keywords: LiDAR; classification; modelling; filtering; segmentation LiDAR; classification; modelling; filtering; segmentation
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MDPI and ACS Style

Tarsha Kurdi, F.; Gharineiat, Z.; Campbell, G.; Awrangjeb, M.; Dey, E.K. Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof. Remote Sens. 2022, 14, 430. https://doi.org/10.3390/rs14020430

AMA Style

Tarsha Kurdi F, Gharineiat Z, Campbell G, Awrangjeb M, Dey EK. Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof. Remote Sensing. 2022; 14(2):430. https://doi.org/10.3390/rs14020430

Chicago/Turabian Style

Tarsha Kurdi, Fayez, Zahra Gharineiat, Glenn Campbell, Mohammad Awrangjeb, and Emon Kumar Dey. 2022. "Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof" Remote Sensing 14, no. 2: 430. https://doi.org/10.3390/rs14020430

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