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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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2002
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| Online Access: | https://eprints.nottingham.ac.uk/10314/ |