Date of Award
12-1993
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Engineering Physics
First Advisor
Michael C. Roggemann, PhD
Abstract
Hyperspectral analysis of space objects is being considered as a means of enhancing Space Object Identification. SOI capabilities. This study develops a mathematical simulation based on fundamental radiometry principles to evaluate the feasibility of hyperspectral analysis of space objects. The study uses Signal to Noise Ratio SNR as the basis for the feasibility evaluation, and addresses the question Is there enough target signal in narrow wavelength bandwidths to conduct hyperspectral measurements of space objects The analysis characterizes the target signal and noise sources using fundamental radiometry, and develops a flexible radiometry model which calculates the target signal count rate, and SNR for a specified target-sensor configuration. The model was applied to four case studies, and revealed 1 Enough target signal is present in narrow wavelength bandwidths for hyperspectral measurements 2 Differences exist in signal strength as a function of wavelength and bandwidth which may serve as a basis for Space Object Identification applications. Hyperspectral analysis of space objects warrants further investigation.
AFIT Designator
AFIT-GSO-ENP-93D-02
DTIC Accession Number
ADA273882
Recommended Citation
Hrovat, Daniel, "Hyperspectral Analysis of Space Objects: Signal to Noise Evaluation" (1993). Theses and Dissertations. 6786.
https://scholar.afit.edu/etd/6786
Comments
The author's Vita page is omitted.