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Proceedings Paper

Different approaches for the texture classification of a remote sensing image bank
Author(s): Philippe Durand; Gerard Brunet; Dariush Ghorbanzadeh; Luan Jaupi
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Paper Abstract

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.

Paper Details

Date Published: 10 April 2018
PDF: 8 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061530 (10 April 2018); doi: 10.1117/12.2302497
Show Author Affiliations
Philippe Durand, Conservatoire National des Arts et Métiers (France)
Gerard Brunet, Univ. de Poitiers (France)
Dariush Ghorbanzadeh, Conservatoire National des Arts et Métiers (France)
Luan Jaupi, Conservatoire National des Arts et Métiers (France)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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