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In this paper, an approach for classification of satellite images has been presented. Satellite images are rich in geographical information. Geographical information can be used in a number of ways. The authors' purposed system does classification of satellite images. In the classification of images, an important step is recognition of objects from the satellite image. They proposed a technique for recognizing objects from satellite image. For object recognition, they extracted attributes from satellite images under two domains: Organization of color pixels and pixel intensity. Extracted attributes helps to identify objects that lies inside the satellite image. On the basis of the identified objects, they classified satellite images with the help of decision tree.
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