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Title:Detection of planar points for building extraction from LiDAR data based on differential morphological and attribute profiles
Authors:ID Mongus, Domen (Author)
ID Lukač, Niko (Author)
ID Obrul, Denis (Author)
ID Žalik, Borut (Author)
Files:.pdf ISPRS_Annals_of_the_Photogrammetry,_Remote_Sensing_and_Spatial_Information_Sciences_2013_Mongus_et_al._Detection_of_Plana.pdf (2,85 MB)
MD5: 76DDB6546B5791313299D079539D8858
 
URL https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W1/21/2013/
 
Language:English
Work type:Not categorized
Typology:1.08 - Published Scientific Conference Contribution
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:This paper considers a new method for building-extraction from LiDAR data. This method uses multi-scale levelling schema or MSLS-segmentation based on differential morphological profiles for removing non-building points from LiDAR data during the data denoising step. A new morphological algorithm is proposed for the detection of flat regions and obtaining a set of building-candidates. This binarisation step is made by using differential attribute profiles based on the sum of the second-order morphological gradients. Any distinction between flat and rough surfaces is achieved by area-opening, as applied within each attribute-zone. Thus, the detection of the flat regions is essentially based on the average gradient contained withina region, whilst avoiding subtractive filtering rule. Finally, the shapes of the flat-regions are considered during the building-recognition step. A binary shape-compactness attribute opening is used for this purpose. The efficiency of the proposed method was demonstrated on three test LiDAR datasets containing buildings of different sizes, shapes, and structures. As shown by the experiments, the average quality of the buildings-extraction was more than 95%, with 96%correctness, and 98%completeness. In terms of quality, this method is comparable with TerraScan R , but both methods significantly differ when comparing correctness and completeness of the results.
Keywords:LiDAR, mathematical morphology, segmentation, DAP, DMP, building extraction
Publication status:Published
Publication version:Version of Record
Year of publishing:2013
Number of pages:str. 21-26
Numbering:Letn. II-3/W1
PID:20.500.12556/DKUM-50439 New window
ISSN:2194-9042
UDC:004.92:004.932
ISSN on article:2194-9042
COBISS.SI-ID:17007638 New window
NUK URN:URN:SI:UM:DK:DGSLHEJZ
Publication date in DKUM:10.07.2015
Views:1527
Downloads:424
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
MONGUS, Domen, LUKAČ, Niko, OBRUL, Denis and ŽALIK, Borut, 2013, Detection of planar points for building extraction from LiDAR data based on differential morphological and attribute profiles. In : VCM 2013 – The ISPRS Workshop on 3D Virtual City Modeling [online]. Published Scientific Conference Contribution. 2013. p. 21–26. [Accessed 14 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=50439
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Record is a part of a proceedings

Title:VCM 2013 – The ISPRS Workshop on 3D Virtual City Modeling
Editors:G. Sohn, F. Rottensteiner, J. D. Wegner
COBISS.SI-ID:16960022 New window

Record is a part of a journal

Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Shortened title:ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.
Publisher:Copernicus Publications
ISSN:2194-9042

Document is financed by a project

Funder:ARRS - Slovenian Research Agency
Project number:L2-3650
Name:Obdelava velikih količin geometrijskih podatkov LIDAR

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:10.07.2015

Secondary language

Language:Slovenian
Keywords:LiDAR, matematična morfologija, segmentacija, DAP, DMP, ekstrakcija stavb


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