Building Extraction from Airborne Laser Scanning Data: An Analysis of the State of the Art

Remote Sensing

Ivan Tomljenovic¹  Bernhard H཯le²  Dirk Tiede¹  Thomas Blaschke¹  Wolfgang Wagner³ 

[1] Department of Geoinformatics (Z_GIS), University of Salzburg, Schillerstrasse 30, Salzburg 5020, Austria; E-Mails:;Institute of Geography, Chair of GIScience, Heidelberg University, Heidelberg 69120, Germany; E-Mail:Department of Geoinformatics (Z_GIS), University of Salzburg, Schillerstrasse 30, Salzburg 5020, Austria;

关键词: building;    LiDAR;    point cloud analysis;    literature review;    ALS;   

DOI  :  10.3390/rs70403826

来源: mdpi

【 摘 要 】

This article provides an overview of building extraction approaches applied to Airborne Laser Scanning (ALS) data by examining elements used in original publications, such as data set area, accuracy measures, reference data for accuracy assessment, and the use of auxiliary data. We succinctly analyzed the most cited publication for each year between 1998 and 2014, resulting in 54 ISI-indexed articles and 14 non-ISI indexed publications. Based on this, we position some built-in features of ALS to create a comprehensive picture of the state of the art and the progress through the years. Our analyses revealed trends and remaining challenges that impact the community. The results show remaining deficiencies, such as inconsistent accuracy assessment measures, limitations of independent reference data sources for accuracy assessment, relatively few documented applications of the methods to wide area data sets, and the lack of transferability studies and measures. Finally, we predict some future trends and identify some gaps which existing approaches may not exhaustively cover. Despite these deficiencies, this comprehensive literature analysis demonstrates that ALS data is certainly a valuable source of spatial information for building extraction. When taking into account the short civilian history of ALS one can conclude that ALS has become well established in the scientific community and seems to become indispensable in many application fields.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.