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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Bibliographic Details
Main Authors: Asmala, A., Shaun, Quegan
Format: Article
Language:English
Published: HIKARI LTD 2013
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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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