10 April 2018 Different approaches for the texture classification of a remote sensing image bank
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061530 (2018) https://doi.org/10.1117/12.2302497
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
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.
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Philippe Durand, Philippe Durand, Gerard Brunet, Gerard Brunet, Dariush Ghorbanzadeh, Dariush Ghorbanzadeh, Luan Jaupi, Luan Jaupi, } "Different approaches for the texture classification of a remote sensing image bank", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061530 (10 April 2018); doi: 10.1117/12.2302497; https://doi.org/10.1117/12.2302497
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