1076 articles – 553 Notices  [english version]
HAL : hal-00315531, version 1

Fiche détaillée  Récupérer au format
Automatic Semantic Network Construction for Multi-Layer Annotation of Satellite Images
Jean-Baptiste Bordes 1, 2, Henri Maitre 1, 3
(20/08/2008)

A novel method is presented for annotating satellite images. The labels used for annotation are given by a user with a set of example images. A learning step is then applied to learn the model. The originality of the method is to formulate the problem of semantic annotation to a further extent than a mere probabilistic classification task. The method takes into account the semantical relationships between the concepts by considering a duality between the structure of the model and the structure of the set of labels. The semantical structure of the labels is represented by a semantic network containing three semantical relationships: synonymy, meronymy, and hyponymy. The semantic network is constrained in a hierarchy induced by the links of hyponymy and meronymy. By a procedure of MDL model selection, it is possible to find the optimal semantical structure of the set of labels.
1 :  Laboratoire Traitement et Communication de l'Information [Paris] (LTCI)
Télécom ParisTech – CNRS : UMR5141
2 :  CEP Arcueil (DGA/CTA/DT/GIP)
Délégation Générale pour l'Armement
3 :  Département Traitement du Signal et des Images (TSI)
Télécom ParisTech – CNRS : UMR5141
Informatique/Traitement des images
remote sensing – indexing – statistical modelling – semantic indexing
Liste des fichiers attachés à ce document : 
PDF
semantic_bordes.pdf(2 MB)