Satellite Image Classification Using Fuzzy Logic Technique

Leow, Thing Fung (2013) Satellite Image Classification Using Fuzzy Logic Technique. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This project was about the unsupervised classification for satellite image by using fuzzy logic technique. In this project, the method of unsupervised classification was implemented as compared to supervised classification. Nowadays, many situations on this earth were captured by the satellite. Therefore, it was important to be able to classify out the things or objects that had been captured by the satellite. In this project, Fuzzy Inference System (FIS) of Fuzzy Logic Toolbox in matlab was selected to do for unsupervised classification. The types of FIS technique selected to do for the classification include Fuzzy Mamdani and Fuzzy Sugeno. These two methods are used to compare which one can provide a better output.

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