TY - GEN
T1 - Comparison of similarity measures of multi-sensor images for change detection applications
AU - Alberga, V.
AU - Idrissa, M.
AU - Lacroix, V.
AU - Inglada, J.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=53349115431&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2007.4423315
DO - 10.1109/IGARSS.2007.4423315
M3 - Conference contribution
AN - SCOPUS:53349115431
SN - 1424412129
SN - 9781424412129
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2358
EP - 2361
BT - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
T2 - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Y2 - 23 June 2007 through 28 June 2007
ER -