Extended Dependency Tree-HMM for Non-Rectangular Sub-Images Modeling
Résumé
This work is motivated by the need of evaluating the likelihood probability on sub-images of not necessarily rectangular shape in some frameworks. For this purpose, we propose an alternative of Dependency Tree- HMM that allows the four traditional interactions between neighboring pixels instead of just two. To demonstrate the accuracy of the proposed model, we provide some classification results performed on high resolution aerial images.
Origine : Fichiers produits par l'(les) auteur(s)
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