Vinciane Lacroix

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In the context of unsupervised clustering, a new algorithm for the domain of graphs is introduced. In this paper, the key idea is to adapt the mean-shift clustering and its variants proposed for the domain of feature vectors to graph clustering. These algorithms have been applied successfully in image analysis and computer vision domains. The proposed(More)
The aim of the ETATS project (“Système d’Evaluation du Taux d’Actualisation de données topogéographiques par Télédétection Spatiale”) is to estimate the degree of changes in the built-up area and in the communication network for the Belgian territory, using satellite images and the National Geographic Institute database. SPOT5 images have been used for this(More)
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(More)