Analysis of Maximum Likelihood Classification on Multispectral Data
The aim of this paper is to carry out analysis of Maximum Likelihood (ML)classification on multispectral data by means of qualitative and quantitative approaches. ML is a supervised classification method which is based on the Bayes theorem. It makes use of a discriminant function to assign pixel to...
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| Format: | Article |
| Language: | English |
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HIKARI LTD
2012
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| Online Access: | http://eprints.utem.edu.my/id/eprint/6411/1/ahmadAMS129-132-2012_published.pdf http://eprints.utem.edu.my/id/eprint/6411/ http://www.m-hikari.com/ams/index.html |
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