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[DGJ17] Different approaches for the texture classification of a remote sensing image bank

Conférence Internationale avec comité de lecture : ICGIP - ICSAP 2017, October 2017, pp.., Qingdao, China,

Mots clés: natural textures, data bank image, neural networks

Résumé: In this paper, we summarize and compare two different approaches used by the authors, to classify different natural textures. The first approach, which is simple and inexpensive in computing time, uses a data bank image and an expert system able to classify different textures from a number of rules established by discipline specialists. The second method uses the same database and a neural networks approach.

BibTeX

@inproceedings {
DGJ17,
title="{Different approaches for the texture classification of a remote sensing image bank}",
author=" P. Durand and D. Ghorbanzadeh and L. Jaupi ",
booktitle="{ICGIP - ICSAP 2017}",
year=2017,
month="October",
pages=".",
address="Qingdao, China",
}