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Towards automatic 3-D change detection through multi-spectral and digital elevation model information fusion

Chaabouni-Chouayakh, Houda and Rodes, Isabel and Reinartz, Peter (2013) Towards automatic 3-D change detection through multi-spectral and digital elevation model information fusion. International Journal of Image and Data Fusion, 4 (1), pp. 89-101. Informa UK Limited. DOI: DOI:10.1080/19479832.2012.739577 ISSN 1947-9832

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Official URL: http://www.tandfonline.com/doi/abs/10.1080/19479832.2013.757828

Abstract

Various 2-D and 3-D change detection techniques have been developed in the literature in order to monitor changes inside urban areas. Nevertheless, most of these techniques require the interaction of the user either to input data, set parameters or to train classifiers. Automatic unsupervised processes have been seldom tackled since they are very difficult to develop if high accuracies are necessary. This article provides a fully automatic change detection procedure for urban areas monitoring. It exploits at best the information provided by multispectral images and Digital Elevation Model (DEM) from two different epochs. A fusion, both at feature and decision levels, is thus proposed in order to automatically detect for each epoch the following land cover classes: buildings, shadowed areas, water bodies, ground, low and high vegetation. Applying such fusion on Ikonos stereo data acquired over an Asian urban area in spring 2006 and winter 2010 and their ensuing DEMs has proved both the efficiency and worth of the joint use of the multi-spectral and height information. A class for class comparison is carried out between the two obtained classification maps in order to detect the changes that have occurred between 2006 and 2010 over the studied area. A set of standard evaluation measures widely employed in the literature are finally computed to assess the quality of the proposed procedure.

Item URL in elib:https://elib.dlr.de/79498/
Document Type:Article
Title:Towards automatic 3-D change detection through multi-spectral and digital elevation model information fusion
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Chaabouni-Chouayakh, Houdahouda.chaabouni (at) dlr.deUNSPECIFIED
Rodes, IsabelCNESUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:4 March 2013
Journal or Publication Title:International Journal of Image and Data Fusion
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:4
DOI :DOI:10.1080/19479832.2012.739577
Page Range:pp. 89-101
Publisher:Informa UK Limited
ISSN:1947-9832
Status:Published
Keywords:multi-spectral data; DEM; information fusion; automatic 3-D change detection; evaluation
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 hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Roehl, Cornelia
Deposited On:06 Dec 2012 11:11
Last Modified:14 Dec 2019 04:21

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