Fourier multispectral imaging in the shortwave infrared
Date of Award
2017
Degree Name
M.S. in Electrical Engineering
Department
Department of Electrical and Computer Engineering
Advisor/Chair
Advisor: Keigo Hirakawa
Abstract
Most multispectral systems try to measure incoming spectra with narrow-band filters at specific central wavelengths which are chosen based upon the application. A shortwave infrared (SWIR) multispectral system using concepts from Fourier multispectral imaging was designed with approximately sinusoidal spectral transmission filters. The filters were implemented as single cavity thin film resonators of varying thicknesses. The prototype system was evaluated using narrow-band spectra with single peaks, narrow-band spectra with multiple peaks, and broadband spectra with atmospheric absorption characteristics. The results show that this technique preserves spectral peaks and absorption bands even though the filters are not perfectly sinusoidal. Additionally, preliminary detection results were evaluated using a synthetic scene.
Keywords
Multispectral imaging, Infrared spectroscopy, Light filters Design and construction, Thin films Optical properties, Electrical Engineering, Multispectral, Fourier multispectral imaging, Shortwave infrared
Rights Statement
Copyright © 2017, author
Recommended Citation
Howard, Matthew David, "Fourier multispectral imaging in the shortwave infrared" (2017). Graduate Theses and Dissertations. 1323.
https://ecommons.udayton.edu/graduate_theses/1323