Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check

Data registration is a prerequisite for the integration of multi-platform laser scanning in various applications. A new approach is proposed for the semi-automatic registration of airborne and terrestrial laser scanning data with buildings without eaves. Firstly, an automatic calculation procedure f...

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Main Authors: Liang Cheng, Lihua Tong, Manchun Li, Yongxue Liu
Format: Article
Language:English
Published: MDPI AG 2013-11-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/5/12/6260
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spelling doaj-0a263a185f5d4c7ca564a5595253b75a2020-11-24T21:08:38ZengMDPI AGRemote Sensing2072-42922013-11-015126260628310.3390/rs5126260rs5126260Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability CheckLiang Cheng0Lihua Tong1Manchun Li2Yongxue Liu3Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, 163 Xianlin Avenue, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, 163 Xianlin Avenue, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, 163 Xianlin Avenue, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, 163 Xianlin Avenue, Nanjing 210023, ChinaData registration is a prerequisite for the integration of multi-platform laser scanning in various applications. A new approach is proposed for the semi-automatic registration of airborne and terrestrial laser scanning data with buildings without eaves. Firstly, an automatic calculation procedure for thresholds in density of projected points (DoPP) method is introduced to extract boundary segments from terrestrial laser scanning data. A new algorithm, using a self-extending procedure, is developed to recover the extracted boundary segments, which then intersect to form the corners of buildings. The building corners extracted from airborne and terrestrial laser scanning are reliably matched through an automatic iterative process in which boundaries from two datasets are compared for the reliability check. The experimental results illustrate that the proposed approach provides both high reliability and high geometric accuracy (average error of 0.44 m/0.15 m in horizontal/vertical direction for corresponding building corners) for the final registration of airborne laser scanning (ALS) and tripod mounted terrestrial laser scanning (TLS) data.http://www.mdpi.com/2072-4292/5/12/6260airborne laser scanningterrestrial laser scanningmulti-platformregistrationcorner matchingreliability check
collection DOAJ
language English
format Article
sources DOAJ
author Liang Cheng
Lihua Tong
Manchun Li
Yongxue Liu
spellingShingle Liang Cheng
Lihua Tong
Manchun Li
Yongxue Liu
Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check
Remote Sensing
airborne laser scanning
terrestrial laser scanning
multi-platform
registration
corner matching
reliability check
author_facet Liang Cheng
Lihua Tong
Manchun Li
Yongxue Liu
author_sort Liang Cheng
title Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check
title_short Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check
title_full Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check
title_fullStr Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check
title_full_unstemmed Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check
title_sort semi-automatic registration of airborne and terrestrial laser scanning data using building corner matching with boundaries as reliability check
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2013-11-01
description Data registration is a prerequisite for the integration of multi-platform laser scanning in various applications. A new approach is proposed for the semi-automatic registration of airborne and terrestrial laser scanning data with buildings without eaves. Firstly, an automatic calculation procedure for thresholds in density of projected points (DoPP) method is introduced to extract boundary segments from terrestrial laser scanning data. A new algorithm, using a self-extending procedure, is developed to recover the extracted boundary segments, which then intersect to form the corners of buildings. The building corners extracted from airborne and terrestrial laser scanning are reliably matched through an automatic iterative process in which boundaries from two datasets are compared for the reliability check. The experimental results illustrate that the proposed approach provides both high reliability and high geometric accuracy (average error of 0.44 m/0.15 m in horizontal/vertical direction for corresponding building corners) for the final registration of airborne laser scanning (ALS) and tripod mounted terrestrial laser scanning (TLS) data.
topic airborne laser scanning
terrestrial laser scanning
multi-platform
registration
corner matching
reliability check
url http://www.mdpi.com/2072-4292/5/12/6260
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