Comparative Analysis of Supervised and Unsupervised Classification on Multispectral Data
The aim of this study is to compare two methods of image classification, i.e. ML (Maximum Likelihood), a supervised method, and ISODATA (Iterative Self- Organizing Data Analysis Technique), an unsupervised method. The former is knowledge-driven, while the latter is data-driven. The former needs a p...
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Main Authors: | Asmala, A., Shaun, Quegan |
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Format: | Article |
Language: | English |
Published: |
HIKARI LTD
2013
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Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/9032/1/ahmadAMS73-76-2013_published.pdf http://eprints.utem.edu.my/id/eprint/9032/ http://www.m-hikari.com/ |
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