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[DGJ18] Different approaches for the texture classi cation of a remote sensing image bank
Conférence Internationale avec comité de lecture : Ninth International Conference on Graphic and Image Processing, April 2018, Vol. 10615(Proc. of SPIE Vol. 10615 1061530-1), pp.1-9, Series Series proceedings for ISI2017, Qingdao, China, (DOI: doi: 10.1117/12.2302497)Mots clés: Expert system, Prolog, Neural network, natural textures
Résumé:
In this paper, we summarize and compare two dierent approaches used by the authors, to classify dierent
natural textures. The rst approach, which is simple and inexpensive in computing time, uses a data bank
image and an expert system able to classify dierent textures from a number of rules established by discipline specialists. The second method uses the same database and a neural networks approach.
BibTeX
| @inproceedings { | |||
| DGJ18, | |||
| title | = | "{Different approaches for the texture classi cation of a remote sensing image bank}", | |
| author | = | " P. Durand and D. Ghorbanzadeh and L. Jaupi ", | |
| booktitle | = | "{Ninth International Conference on Graphic and Image Processing}", | |
| year | = | 2018, | |
| edition | = | "SPIEDigitalLibrary.org/conference-proceedings-of-spie", | |
| month | = | "April", | |
| series | = | "Series proceedings for ISI2017", | |
| volume | = | 10615, | |
| issue | = | Proc. of SPIE Vol. 10615 1061530-1, | |
| pages | = | "1-9", | |
| address | = | "Qingdao, China", | |
| doi | = | "doi: 10.1117/12.2302497", | |
| } | |||
