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Building Extraction Using Surface Model Classification

Arefi, Hossein and Alizadeh, Amin and Ghafouri, Ali (2013) Building Extraction Using Surface Model Classification. GIS Ostrava 2013 - Geoinformatics for City Transformations, 21 - 23 Jan 2013, Ostrava, Czech Republic.

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Official URL: http://gis.vsb.cz/GIS_Ostrava/GIS_Ova_2013/proceedings/author.html


In many applications like urban planning and environmental simulation, the major solution is building extraction, which can be performed using different airborne or space-borne data or an appropriate fusion of them. This paper presents an automatic building recognition technique using fusion of LIDAR data and multispectral imagery. To this end, a rule-based classification method is considered in order to extract buildings from input data which are DSM, DTM extracted from DSM and an optical Image. To achieve better accuracy classification is performed in both pixel and object level. Accordingly, a user-friendly MATLAB toolbox is provided for both classification and evaluation procedures. It is experimentally shown that the proposed algorithm can successfully detect urban residential buildings, when assessed in terms of different quantitative criteria and visual inspection.

Item URL in elib:https://elib.dlr.de/80939/
Document Type:Conference or Workshop Item (Speech)
Title:Building Extraction Using Surface Model Classification
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Arefi, Hosseinhossein.arefi (at) dlr.deUNSPECIFIED
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-10
Keywords:Building Extraction, Digital Surface Model, Rule-based Classification
Event Title:GIS Ostrava 2013 - Geoinformatics for City Transformations
Event Location:Ostrava, Czech Republic
Event Type:international Conference
Event Dates:21 - 23 Jan 2013
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Arefi, Hossein
Deposited On:29 Jan 2013 09:00
Last Modified:08 May 2014 23:28

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