Vinciane Lacroix

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A new scheme for detecting edges and lines in multi-channel SAR images is proposed. The line detector is constructed from the edge detector. The latter is based on multi-variate statistical hypothesis tests applied to log-intensity SAR images. The raw results are vectorized by a traditional bright line extraction process. The scheme is illustrated by(More)
An automatic system to estimate the urbanization changes on the Belgian territory, using SPOT5 images and the National Geographic Institute vectorial database is proposed. The images and the vectorial data are first co-registered. Then, the vectorial database is projected and dilated to produce a mask representing the old status of the database. On the(More)
Landmines and UXO (UneXploded Ordnance 1) represent a constant and long-lasting threat to the life of millions of individuals. Moreover, these weapons have a strong socioeconomic impact on contaminated countries as they involve serious effects as the loss of agricultural fields or access to water. Demining is a critical issue since contaminated areas are(More)
—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(More)