Faculty Advisor

Ciaraldi, Michael J.

Faculty Advisor

Orr, John A.

Abstract

Hyperspectral imaging is a technology used to identify objects by analyzing their spectral signatures. The goal of this project is to examine the effects of spatial and spectral compression on classification of hyperspectral cubes. A software package was developed to generate synthetic hyperspectral cubes in order to isolate the effect of spatial and spectral compression. It is shown that there is a certain amount of compression that can be applied before important information is lost and classification is rendered inaccurate.

Publisher

Worcester Polytechnic Institute

Date Accepted

January 2003

Major

Computer Science

Major

Electrical Engineering

Project Type

Major Qualifying Project

Accessibility

Restricted-WPI community only

Advisor Department

Computer Science

Advisor Department

Electrical and Computer Engineering

Advisor Program

Computer Science

Advisor Program

Electrical and Computer Engineering

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