Date of Award

3-2021

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

Stephen C. Cain, PhD

Abstract

Since the point detector was created, other detection algorithms have been created that increase the probability of detection, while still keeping the same probability of false alarm. The point detector still has uses, such as when there is no prior knowledge of the point spread function (PSF). The matched filter correlator (MFC) detector is reliant on prior knowledge of the PSF. This has been an issue in cases where the PSF information is potentially inaccurate or unknown. This thesis utilizes MFC detector in a manner that it has never been used before, along with a new detection algorithm, the Pearson's correlation coefficient (PCC) detector, in order to estimate Fried's Seeing Parameter (r0) for a captured image. In previous studies, r0 is known or is assumed to be known. This new method of estimating r0 could yield higher probability of detection rates among certain space objects with little or no prior knowledge about the space object in question.

AFIT Designator

AFIT-ENG-MS-21-M-042

DTIC Accession Number

AD1132445

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