Factors influencing the accuracy of remote sensing classifications : a comparative study
Within last 20 years, a number of methods have been employed for classifying remote sensing data, including parametric methods (e.g. the maximum likelihood classifier) and non-parametric classifiers (such as neural network classifiers).Each of these classification algorithms has some specific proble...
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University of Nottingham
2002
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.514655 |