Reliable water surface extraction is essential for river delineation and flood monitoring.
Obtaining such information from fine resolution satellite imagery has attracted much interest …

This paper aims to present a supervised classification algorithm based on data fusion for the
segmentation of the textured images. The feature extraction method we used is based on …

La quantité de données de télédétection archivées est de plus en plus importante et grâce
aux nouveaux et futurs satellites, ces données offriront une plus grande diversité de …

Gene expression data usually contains a large number of genes, but a small number of
samples. Feature selection for gene expression data aims at finding a set of genes that best …

This work presents supervised classification algorithms based on information fusion for
textured‐images segmentation. Gabor features are efficient in finding class boundaries …

This paper presents aircraft target recognition (ATR) system using Inverse Synthetic
Aperture Radar (ISAR). The methodology used to design the complete processing chain …

Land cover map** using remote sensing optical images with a very high spatial resolution
(VHSR) plays an important role in observing the Earth's surface. However, classification …

Each related organization conducts various fishery investigations and collects data required
for estimation of resource state. In the scallop culture industry in Tokoro, Japan, the fish …

This paper aims to present a supervised segmentation algorithm based on data fusion for
the textured image. The feature extraction method that is used for segmentation is Discrete …

Nous présentons dans cet article une approche de fusion crédibiliste pour la classification
d'objets à partir d'images multi-vues. Cette approche est appliquée sur des données …