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Statistical classification / Infrared imaging / Imaging / Support vector machine / Hyperspectral imaging / Feature selection / Random forest / Dimension reduction / Statistics / Machine learning / Spectroscopy


USE INTERMEDIATE RESULTS OF WRAPPER BAND SELECTION METHODS: A FIRST STEP TOWARD THE OPTIMIZATION OF SPECTRAL CONFIGURATION FOR LAND COVER CLASSIFICATIONS Arnaud Le Bris (a), Nesrine Chehata (b,c), Xavier Briottet (d), Ni
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Document Date: 2014-08-08 05:12:33

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City

Clustering / Tunis / Pessac Cedex / Kernel / Saint Mand´e / Sevilla / Paris / /

Company

BP / Neural Networks / /

Country

France / Tunisia / /

Facility

University of Bordeaux / /

IndustryTerm

search strategies / high computing times / Genetic algorithm / important computing times / intermediate solutions / genetic algorithms / near optimal solution / superspectral camera systems / ant colony algorithm / exhaustive search / superspectral cameras dedicated to specific applications / search methods / /

MusicGroup

SELECTION / S / / Vector / Create / Knowledge / /

NaturalFeature

Random Forests / /

Organization

French Aerospace Lab / Pavia Center / University of Bordeaux / /

Person

Nicolas Paparoditis / Xavier Briottet / Bordeaux / /

Position

Sequential Forward / /

ProgrammingLanguage

C / /

ProvinceOrState

Georgia / /

PublishedMedium

Machine Learning / /

Technology

bioinformatics / Remote Sensing / DNA Chip / Genetic algorithm / Machine Learning / ant colony algorithm / /

URL

http /

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