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Building types' classification using shape-based features and linear discriminant functions

Wurm, Michael and Schmitt, Andreas and Taubenböck, Hannes (2016) Building types' classification using shape-based features and linear discriminant functions. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9 (5), pp. 1901-1912. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2015.2465131 ISSN 1939-1404

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7210144


In this paper, the applicability and performance of linear discriminant analysis (LDA) for building types classification are investigated. Building models at a level of detail 1 (LoD1) are derived from real estate cadastral building footprints and digital surface models from stereoscopic airborne images. In several experiments for two cities in Germany (Berlin and Munich) we first evaluate the discriminatory power of 26 different shape-based features which describe the physiognomy of individual buildings in terms of 1D (e.g. length), 2D (e.g. area) and 3D (e.g. volume) features. While 1D-features show low contributions to the discrimination of the five building types, we observe high contributions of the 3D shape index and 2D-measures of compactness. In a second group of experiments, the size of training samples for the classification process is investigated with the outcome that a size of 10 % of the total number of labeled features is practicable in terms of size and accuracy. In a third battery of experiments, the selected features and training sample size is used for classification of the building types resulting in kappa values of 0.94 for both cities. In the final experiments, the geographical transfer between the two cities is investigated reaching kappa values of 0.93 and 0.91, respectively. The tests show that a simple linear classifier like LDA can handle building type classification without much user interaction compared to more complex classification methods but is limited when similar building types (e.g. perimeter block development and block development) are to be discriminated

Item URL in elib:https://elib.dlr.de/97452/
Document Type:Article
Title:Building types' classification using shape-based features and linear discriminant functions
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wurm, Michaelmichael.wurm (at) dlr.dehttps://orcid.org/0000-0001-5967-1894
Schmitt, AndreasAndreas.Schmitt (at) dlr.deUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Date:May 2016
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/JSTARS.2015.2465131
Page Range:pp. 1901-1912
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:building model, urban areas, discriminant analysis, building types
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 Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Wurm, Michael
Deposited On:14 Sep 2015 10:14
Last Modified:08 Mar 2018 18:31

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