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Towards Automatic 3D Change Detection inside Urban Areas by Combining Height and Shape Information

Chaabouni-Chouayakh, Houda and Reinartz, Peter (2011) Towards Automatic 3D Change Detection inside Urban Areas by Combining Height and Shape Information. Photogrammetrie Fernerkundung Geoinformation, 2011 (4), pp. 205-218. E. Schweizerbartsche Verlagsbuchhandlung. DOI: 10.1127/1423-8364/2011/0083 ISSN 1432-8364

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Abstract

Monitoring of urban areas using remote sensing data requires reliable change detection techniques. While most of the changes are optically visible and easily detectable by an expert user, automatic processes that remain valid even when different kinds of input data are considered, are quite difficult to develop. This paper provides new solutions for semi-automatic 3D change detection of buildings based on the joint use of height and spatial information. It is an attempt to build a reliable scheme for change detection able to process high as well as lower quality Digital Surface Models (DSMs). The subtraction of DSM, computed from stereo pairs acquired at different epochs, provide valuable information about 3D urban change. However, when at least one of the DSMs presents some artifacts, a simple DSM subtraction may result also in the detection of virtual changes. Several post-processing steps are proposed in this paper and adapted to different DSM qualities in order to quantify real changes. Shape features are introduced to describe the geometry of the detected changes and a Support Vector Machine (SVM) classifier is used to differentiate real from virtual changes. Evalua-tion of the proposed approach on object and pixel level in terms of completeness, correctness, overall accuracy, etc is performed, proving its efficiency and relatively high accuracy for different kind of stereo images and consequently different DSM qualities.

Item URL in elib:https://elib.dlr.de/70761/
Document Type:Article
Title:Towards Automatic 3D Change Detection inside Urban Areas by Combining Height and Shape Information
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Chaabouni-Chouayakh, Houdahouda.chaabouni (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:August 2011
Journal or Publication Title:Photogrammetrie Fernerkundung Geoinformation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:2011
DOI :10.1127/1423-8364/2011/0083
Page Range:pp. 205-218
Editors:
EditorsEmail
Mayer, helmutUniBW
Publisher:E. Schweizerbartsche Verlagsbuchhandlung
ISSN:1432-8364
Status:Published
Keywords:DSM, 3D change detection, height information, spatial information, SVM classification
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - VABENE (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Reinartz, Prof. Dr.. Peter
Deposited On:07 Sep 2011 14:21
Last Modified:08 Mar 2018 18:47

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