Learning Relevant Image Features With Multiple-Kernel Classification

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Auteurs

Date

2010

Discipline

Géographie

Type de document

Articles

Périmètre

Publications

Langue

Anglais

Identifiants

doi: 10.1109/TGRS.2010.2049496
issn: 0196-2892

Source

Serveur académique Lausannois

Relations

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1109/TGRS.2010.2049496

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_2289989BB4C64

Collection

Serveur Académique Lausannois

Organisation

Université de Lausanne et CHUV

Licences

info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer

Mots-clés 0

high-dimensional scenarios; image features; multiple-kernel classification; multisource remote sensing data classification; remote sensing image classification; satellite sensors; support vector machine; image classification; remote sensing; support vector machines;

Sujets proches En

Remote terrain sensing Remote sensing systems Remote-sensing imagery Sensing, Remote Terrain sensing, Remote Knowledge, Classification of

Citer ce document

D. Tuia et al., « Learning Relevant Image Features With Multiple-Kernel Classification », Serveur académique Lausannois, ID : 10.1109/TGRS.2010.2049496

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