Daniel Hrovat

Date of Award


Document Type


Degree Name

Master of Science


Department of Engineering Physics

First Advisor

Michael C. Roggemann, PhD


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.

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