Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

King, Roger L.

Committee Member

Follett, Randy

Committee Member

Younan, Nick

Date of Degree

1-1-2001

Document Type

Graduate Thesis - Open Access

Major

Electrical Engineering

Degree Name

Master of Science

College

College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

In this paper, the problem of analyzing hyperspectral data is presented. The complexity of multi-dimensional data leads to the need for computer assisted data compression and labeling of important features. A brief overview of Self-Organizing Maps and their variants is given and then two possible methods of data analysis are examined. These methods are incorporated into a program derived from som_toolbox2. In this program, ASD data (data collected by an Analytical Spectral Device sensor) is read into a variable, relevant bands for discrimination between classes are extracted, and several different methods of analyzing the results are employed. A GUI was developed for easy implementation of these three stages.

URI

https://hdl.handle.net/11668/19137

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