Factors influencing the accuracy of remote sensing classifications: a comparative study

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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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Bibliographic Details
Main Author:	Pal, Mahesh
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2002
Subjects:	land cover classification support vector machines decision tree classifier
Online Access:	https://eprints.nottingham.ac.uk/10314/

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