Colour and texture based change detection for urban disaster analysis
Autor(en): | Tomowski, D. Ehlers, M. Klonus, S. |
Stichwörter: | Change detection; Integrated methodology; Optimisations; Texture elements; Texture image; Urban disaster; Visualisation of change, Aircraft accidents; Aircraft detection; Color; Principal component analysis; Remote sensing; Signal detection; Visualization, Textures | Erscheinungsdatum: | 2011 | Enthalten in: | 2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings | Startseite: | 329 | Seitenende: | 332 | Zusammenfassung: | A rapid visualisation of change in urban crisis areas is an important condition for planning and coordination of help. For automated change detection, a large number of algorithms has been proposed and developed. This paper describes the results of a colour and texture based change detection approach that was applied to satellite and aircraft images of the earthquake region in Haiti. In our integrated methodology, we calculate firstly new colour texture images which are based on the feature 'energy'. This is performed for every channel in the visible colour spectrum at two different times after a radiometric harmonisation. Combined with a principal component analysis for each texture image and a subsequent histogram optimisation, we subtract the texture elements to visualise the occurred change. As result, it is not only possible to automatically delineate areas of change but also to distinguish between different types of change. © 2011 IEEE. |
Beschreibung: | Conference of IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011 ; Conference Date: 11 April 2011 Through 13 April 2011; Conference Code:84985 |
ISBN: | 9781424486571 | DOI: | 10.1109/JURSE.2011.5764786 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957662194&doi=10.1109%2fJURSE.2011.5764786&partnerID=40&md5=b9daaab1dc765d95b9fad84851fd19f6 |
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