Performance estimation of similarity measures of multi-sensor images for change detection applications

V. Alberga, M. Idrissa, V. Lacroix, J. Inglada

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Change detection of remotely sensed images is a particularly challenging task when the available data come from different sensors. Indeed, many change indicators are based on radiometry measures, operating on them differences or ratios, that are no longer reliable when the data have been acquired by different instruments. For this reason, it is interesting to study the performance of those indicators that do not rely completely on radiometric values. A series of similarity measures for automatic change detection was investigated and their performance compared using optical and SAR images covering a period of several years. We could observe that the considered change detection algorithms perform differently but that none of them permits an "absolute" measure of the changes independent of the sensor.

Original languageEnglish
Title of host publicationProceedings of MultiTemp 2007 - 2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images
DOIs
Publication statusPublished - 2007
Event2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, MultiTemp 2007 - Leuven, Belgium
Duration: 18 Jul 200720 Jul 2007

Publication series

NameProceedings of MultiTemp 2007 - 2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images

Conference

Conference2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, MultiTemp 2007
Country/TerritoryBelgium
CityLeuven
Period18/07/0720/07/07

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