Improved data processing techniques for the High Efficiency HyperSpectral Imager (HEHSI)

Keywords

Image processing -- Digital techniques; Information storage and retrieval systems

Abstract

This thesis presents improvements in data processing techniques for the High Efficiency Hyperspectral Imager (HEHSI), a novel imaging spectrometer with high signal collection ability (or throughput) and no moving parts. We examined data processing procedures, with the goal of improving signal-to-noise ratio (SNR) in the processed dataset and the ability to process larger datasets. Two dimensional interpolation was implemented to handle cross-track motion introduced in datasets due to mechanical misalignment. In order to improve the signal-to-noise ratio (SNR), we increased signal strength by oversampling and the use of a triangular weighting function. The techniques previously implemented were optimized based on data redundancy to handle larger datasets. A comparison of the results due to the processing improvements is presented with relevant metrics. Procedures to improve processing have been recommended .

Notes

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Graduation Date

2003

Advisor

Boreman, Glenn

Degree

Master of Science (M.S.)

College

College of Engineering

Department

Electrical Engineering and Computer Science

Format

PDF

Pages

52 p.

Language

English

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Identifier

DP0029119

Subjects

Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic

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