Comparison 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 their 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 has been investigated and their general performance compared using optical and SAR images covering a period of about six 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. Also the dimensions of the windows, for the estimation of the pixel statistics and of the similarity measure, affect the final results.

Original languageEnglish
Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Pages2358-2361
Number of pages4
DOIs
Publication statusPublished - 2007
Event2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain
Duration: 23 Jun 200728 Jun 2007

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Country/TerritorySpain
CityBarcelona
Period23/06/0728/06/07

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