<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">El Maia, H.</style></author><author><style face="normal" font="default" size="100%">Hammouch, A.</style></author><author><style face="normal" font="default" size="100%">Aboutajdine, D.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Color-texture analysis by mutual information for multispectral image classification</style></title></titles><keywords><keyword><style  face="normal" font="default" size="100%">co-occurrence matrix</style></keyword><keyword><style  face="normal" font="default" size="100%">feature extraction</style></keyword><keyword><style  face="normal" font="default" size="100%">forest areas</style></keyword><keyword><style  face="normal" font="default" size="100%">hybrid color texture space</style></keyword><keyword><style  face="normal" font="default" size="100%">image analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">image classification</style></keyword><keyword><style  face="normal" font="default" size="100%">Image color analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">image colour analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Image databases</style></keyword><keyword><style  face="normal" font="default" size="100%">image texture</style></keyword><keyword><style  face="normal" font="default" size="100%">Information analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Morocco</style></keyword><keyword><style  face="normal" font="default" size="100%">multispectral image classification</style></keyword><keyword><style  face="normal" font="default" size="100%">Multispectral imaging</style></keyword><keyword><style  face="normal" font="default" size="100%">mutual information</style></keyword><keyword><style  face="normal" font="default" size="100%">Rabat</style></keyword><keyword><style  face="normal" font="default" size="100%">RGB color space</style></keyword><keyword><style  face="normal" font="default" size="100%">Spatial databases</style></keyword><keyword><style  face="normal" font="default" size="100%">SPOT HRV (XS)</style></keyword><keyword><style  face="normal" font="default" size="100%">Support vector machine classification</style></keyword><keyword><style  face="normal" font="default" size="100%">support vector machines</style></keyword><keyword><style  face="normal" font="default" size="100%">support vectors machine (citation)</style></keyword><keyword><style  face="normal" font="default" size="100%">VisTex database</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper, we propose a new approach for the construction of a hybrid color-texture space by using mutual information. Feature extraction is done by the co-occurrence matrix with SVM (support vectors machine) as a classifier. We apply our approach to the VisTex database and to the classification of a SPOT HRV (XS) image representing two forest areas in the region of Rabat in Morocco. We compare the result of classification obtained in this hybrid space with the one in the RGB color space.</style></abstract><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;secondary-title: Communications, Computers and Signal Processing, 2009. PacRim 2009. IEEE Pacific Rim Conference on&lt;br/&gt;periodical: Communications, Computers and Signal Processing, 2009. PacRim 2009. IEEE Pacific Rim Conference on&lt;br/&gt;pages: 359-364&lt;br/&gt;isbn: VO -&lt;br/&gt;electronic-resource-num: 10.1109/PACRIM.2009.5291344</style></notes></record></records></xml>