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Supervised Classification of Small Magellanic Cloud | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 22, Issue 6, 2011, Pages 137-142 | ||
| Author | ||
| Ebtesam Fadhel | ||
| Abstract | ||
| In this paper we suggested to classify the small Magellan cloud by two methods of supervised classification. Supervised classification relies on the prior knowledge of the location and identity of land cover types that are in the image. This can be achieved through field our work, study of Astronomical image "Small Magellan cloud". In this paper was devoted to classify the image by using two methods of supervised classification and analysis. The first, named supervised classifier, based on minimum distance criterion, to classify different regions in an image. While the Second method, named Texture classifier, utilizes the features extracted from the co-occurrence matrices to discriminate between image regions. | ||
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