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Cest Analysis: Automated Change Detection from Very-High-Resolution Remote Sensing Images

Ehlers, Manfred and Klonus, Sascha and Jarmer, Thomas and Sofina, Natalia and Michel, Ulrich and Reinartz, Peter and Sirmacek, Beril (2012) Cest Analysis: Automated Change Detection from Very-High-Resolution Remote Sensing Images. In: ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, pp. 317-322. Copernicus Publications. XXII ISPRS Congress 2012, 25. Aug. – 01. Sep. 2012, Melbourne, Australia. ISSN doi:10.5194/isprsarchives-XXXIX-B7-317-2012

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Official URL: http:\\www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/317/2012/

Abstract

A fast detection, visualization and assessment of change in areas of crisis or catastrophes are important requirements for coordination and planning of help. Through the availability of new satellites and/or airborne sensors with very high spatial resolutions (e.g., WorldView, GeoEye) new remote sensing data are available for a better detection, delineation and visualization of change. For automated change detection, a large number of algorithms has been proposed and developed. From previous studies, however, it is evident that to-date no single algorithm has the potential for being a reliable change detector for all possible scenarios. This paper introduces the Combined Edge Segment Texture (CEST) analysis, a decision-tree based cooperative suite of algorithms for automated change detection that is especially designed for the generation of new satellites with very high spatial resolution. The method incorporates frequency based filtering, texture analysis, and image segmentation techniques. For the frequency analysis, different band pass filters can be applied to identify the relevant frequency information for change detection. After transforming the multitemporal images via a fast Fourier transform (FFT) and applying the most suitable band pass filter, different methods are available to extract changed structures: differencing and correlation in the frequency domain and correlation and edge detection in the spatial domain. Best results are obtained using edge extraction. For the texture analysis, different 'Haralick' parameters can be calculated (e.g., energy, correlation, contrast, inverse distance moment) with 'energy' so far providing the most accurate results. These algorithms are combined with a prior segmentation of the image data as well as with morphological operations for a final binary change result. A rule-based combination (CEST) of the change algorithms is applied to calculate the probability of change for a particular location. CEST was tested with high-resolution satellite images of the crisis areas of Darfur (Sudan). CEST results are compared with a number of standard algorithms for automated change detection such as image difference, image ratioe, principal component analysis, delta cue technique and post classification change detection. The new combined method shows superior results averaging between 45% and 15% improvement in accuracy.

Item URL in elib:https://elib.dlr.de/78898/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Cest Analysis: Automated Change Detection from Very-High-Resolution Remote Sensing Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ehlers, Manfredmehlers (at) igf.uni-osnabrueck.deUNSPECIFIED
Klonus, Saschasklonus (at) igf.uni-osnabrueck.deUNSPECIFIED
Jarmer, Thomastjarmer (at) igf.uni-osnabrueck.deUNSPECIFIED
Sofina, Nataliansofina (at) igf.uni-osnabrueck.de UNSPECIFIED
Michel, Ulrichmichel (at) ph-heidelberg.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Sirmacek, Berilberil.sirmacek (at) dlr.deUNSPECIFIED
Date:1 August 2012
Journal or Publication Title:ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.
Refereed publication:No
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:No
In ISI Web of Science:No
Volume: XXXIX-B7
Page Range:pp. 317-322
Editors:
EditorsEmail
Shortis, M.UNSPECIFIED
Wagner, J.UNSPECIFIED
Hyppaä, W.UNSPECIFIED
Publisher:Copernicus Publications
Series Name:ISPRS Archive
ISSN:doi:10.5194/isprsarchives-XXXIX-B7-317-2012
Status:Published
Keywords:Change Detection, Disaster, Texture, Visualization, Principal Component Analysis
Event Title:XXII ISPRS Congress 2012
Event Location:Melbourne, Australia
Event Type:international Conference
Event Dates:25. Aug. – 01. Sep. 2012
Organizer:International Society of Photogrammetry and Remote Sensing
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:INVALID USER
Deposited On:27 Nov 2012 07:48
Last Modified:28 Nov 2012 13:58

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