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Over the past decades, most of the remote sensing studies dealt with natural environment. The advance of remote sensing satellites and the innovative methods of proceeding high resolution images have ...
The hybrid classifier is presented in combination of expert system and object oriented approach, for which increased information is added for classification and improve the accuracy. Instead of the or...
Machine learning algorithms recently have made major advances, with decision tree classifiers gaining wide acceptance. Boosting and bagging of decision trees have added to the predictive capabilities ...
Classification from Synthetic aperture radar(SAR) is known to be difficult because of the speckle and variation in scattering coefficient with incidence angle, especially for high resolution airborne...
The accurate discrimination of forest from natural non-forest areas in Greece presents great interest, since nowadays there is an ongoing effort to develop a Forest Cadastre system. We evaluated the p...
With the improvement of remote sensing technology, the spatial, structural and texture information of land covers are present clearly in high resolution imagery, which enhances the ability of crop map...
We have been witnessing a gradual and steady transformation from a pre dominantly rural society to an urban society in India and by 2030, it will have more people living in urban than rural areas. Slu...
This paper describes the design of an expert system that not only offers advice to both textile and non-textile users on fabric faults, but also assists in the diagnosis of fabric faults. The expert s...

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