Paper Info
Title
Semi-automatic registration of airborne and terrestrial laser scanning data using building corner matching with boundaries as reliability check
Abstract
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.
Year
DOI
Venue
2013
10.3390/rs5126260
REMOTE SENSING
Keywords
Field
DocType
airborne laser scanning,terrestrial laser scanning,multi-platform,registration,corner matching,reliability check
Computer vision,Data registration,Laser scanning,Iterative and incremental development,Vertical direction,Remote sensing,Artificial intelligence,Eaves,Geology,Terrestrial laser scanning,Tripod (photography),The Intersect
Journal
Volume
Issue
ISSN
5
12
null
Citations 
PageRank 
References 
15
1.14
15
Authors
4
Name
Order
Citations
PageRank
Liang Cheng118823.99
Lihua Tong2605.97
Manchun Li321145.40
Yongxue Liu4408.38