Approches parcimonieuses pour la sélection de variables et la classification : application à la spectroscopie IR de déchets de bois

Approches parcimonieuses pour la sélection de variables et la classification : application à la spectroscopie IR de déchets de bois

Le présent travail de thèse se propose de développer des techniques innovantes pour l'automatisation de tri de déchets de bois. L'idée est de combiner les techniques de spectrométrie proche-infra-rouge à des méthodes robustes de traitement de données pour la classification. Après avoir exp...

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Bibliographic Details
Main Author:	Belmerhnia, Leïla
Other Authors:	Université de Lorraine
Language:	fr
Published:	2017
Subjects:	Spectres IR Classification SVM Sélection de variables Approches parcimonieuses Images hyperspectrales Infrared spectra Variable selection Sparse approaches Hyperspectral images 621.382 2
Online Access:	http://www.theses.fr/2017LORR0039/document

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