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

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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

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.

OriginalspracheEnglisch
TitelProceedings of MultiTemp 2007 - 2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images
DOIs
PublikationsstatusVeröffentlicht - 2007
Veranstaltung2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, MultiTemp 2007 - Leuven, Belgien
Dauer: 18 Juli 200720 Juli 2007

Publikationsreihe

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

Konferenz

Konferenz2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, MultiTemp 2007
Land/GebietBelgien
OrtLeuven
Zeitraum18/07/0720/07/07

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