Building Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold

The extraction of building information with terrestrial laser scanning (TLS) has a number of important applications. As the density of projected points (DoPP) of facades is commonly greater than for other types of objects, building points can be extracted based on projection features. However, such...

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Autores principales:	Maolin Chen, Xiangjiang Liu, Xinyi Zhang, Mingwei Wang, Lidu Zhao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	adaptive threshold building extraction density of project points (DoPP) polar grid terrestrial laser scanning (TLS) Science Q
Acceso en línea:	https://doaj.org/article/9a3654470b8e4ae0bfc135abe5968480
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spelling	oai:doaj.org-article:9a3654470b8e4ae0bfc135abe59684802021-11-11T18:55:20ZBuilding Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold10.3390/rs132143922072-4292https://doaj.org/article/9a3654470b8e4ae0bfc135abe59684802021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4392https://doaj.org/toc/2072-4292The extraction of building information with terrestrial laser scanning (TLS) has a number of important applications. As the density of projected points (DoPP) of facades is commonly greater than for other types of objects, building points can be extracted based on projection features. However, such methods usually suffer from density variation and parameter setting, as illustrated in previous studies. In this paper, we present a building extraction method for single-scan TLS data, mainly focusing on those problems. To adapt to the large density variation in TLS data, a filter using DoPP is applied on a polar grid, instead of a commonly used rectangular grid, to detect facade points. In DoPP filtering, the threshold to distinguish facades from other objects is generated adaptively for each cell by calculating the point number when placing the lowest building in it. Then, the DoPP filtering result is further refined by an object-oriented decision tree mainly based on grid features, such as compactness and horizontal hollow ratio. Finally, roof points are extracted by region growing on the non-facade points, using the highest point in each facade cell as a seed point. The experiments are conducted on two datasets with more than 1.7 billion points and with point density varying from millimeter to decimeter levels. The completeness and correctness of the first dataset containing more than 50 million points are 91.8% and 99.8%, with a running time of approximately 970 s. The second dataset is Semantic3D, of which the point number, completeness and correctness are about 1.65 billion, 90.2% and 94.5%, with a running time of about 14,464 s. The test shows that the proposed method achieves a better performance than previous grid-based methods and a similar level of accuracy to the point-based classification method and with much higher efficiency.Maolin ChenXiangjiang LiuXinyi ZhangMingwei WangLidu ZhaoMDPI AGarticleadaptive thresholdbuilding extractiondensity of project points (DoPP)polar gridterrestrial laser scanning (TLS)ScienceQENRemote Sensing, Vol 13, Iss 4392, p 4392 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	adaptive threshold building extraction density of project points (DoPP) polar grid terrestrial laser scanning (TLS) Science Q
spellingShingle	adaptive threshold building extraction density of project points (DoPP) polar grid terrestrial laser scanning (TLS) Science Q Maolin Chen Xiangjiang Liu Xinyi Zhang Mingwei Wang Lidu Zhao Building Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold
description	The extraction of building information with terrestrial laser scanning (TLS) has a number of important applications. As the density of projected points (DoPP) of facades is commonly greater than for other types of objects, building points can be extracted based on projection features. However, such methods usually suffer from density variation and parameter setting, as illustrated in previous studies. In this paper, we present a building extraction method for single-scan TLS data, mainly focusing on those problems. To adapt to the large density variation in TLS data, a filter using DoPP is applied on a polar grid, instead of a commonly used rectangular grid, to detect facade points. In DoPP filtering, the threshold to distinguish facades from other objects is generated adaptively for each cell by calculating the point number when placing the lowest building in it. Then, the DoPP filtering result is further refined by an object-oriented decision tree mainly based on grid features, such as compactness and horizontal hollow ratio. Finally, roof points are extracted by region growing on the non-facade points, using the highest point in each facade cell as a seed point. The experiments are conducted on two datasets with more than 1.7 billion points and with point density varying from millimeter to decimeter levels. The completeness and correctness of the first dataset containing more than 50 million points are 91.8% and 99.8%, with a running time of approximately 970 s. The second dataset is Semantic3D, of which the point number, completeness and correctness are about 1.65 billion, 90.2% and 94.5%, with a running time of about 14,464 s. The test shows that the proposed method achieves a better performance than previous grid-based methods and a similar level of accuracy to the point-based classification method and with much higher efficiency.
format	article
author	Maolin Chen Xiangjiang Liu Xinyi Zhang Mingwei Wang Lidu Zhao
author_facet	Maolin Chen Xiangjiang Liu Xinyi Zhang Mingwei Wang Lidu Zhao
author_sort	Maolin Chen
title	Building Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold
title_short	Building Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold
title_full	Building Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold
title_fullStr	Building Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold
title_full_unstemmed	Building Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold
title_sort	building extraction from terrestrial laser scanning data with density of projected points on polar grid and adaptive threshold
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9a3654470b8e4ae0bfc135abe5968480
work_keys_str_mv	AT maolinchen buildingextractionfromterrestriallaserscanningdatawithdensityofprojectedpointsonpolargridandadaptivethreshold AT xiangjiangliu buildingextractionfromterrestriallaserscanningdatawithdensityofprojectedpointsonpolargridandadaptivethreshold AT xinyizhang buildingextractionfromterrestriallaserscanningdatawithdensityofprojectedpointsonpolargridandadaptivethreshold AT mingweiwang buildingextractionfromterrestriallaserscanningdatawithdensityofprojectedpointsonpolargridandadaptivethreshold AT liduzhao buildingextractionfromterrestriallaserscanningdatawithdensityofprojectedpointsonpolargridandadaptivethreshold
_version_	1718431660966412288

Building Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold

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