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AN ALGORITHM FOR DETERMINING SATELLITE ATTITUDE BY COMPARING PHYSICAL FEATURE MODELS TO EDGES DETECTED IN SATELLITE OR GROUND-BASED TELESCOPE IMAGERY

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Date Issued:
2007
Abstract/Description:
This thesis discusses the development and performance of an algorithm created to calculate satellite attitude based on the comparison of satellite "physical feature" models to information derived from edge detection performed on imagery of the satellite. The quality of this imagery could range from the very clear, close-up imagery that may come from an unmanned satellite servicing mission to the faint, unclear imagery that may come from a ground-based telescope investigating a satellite anomaly. Satellite "physical feature" models describe where an edge is likely to appear in an image. These are usually defined by physical edges on the structure of the satellite or areas where there are distinct changes in material property. The theory behind this concept is discussed as well as two different approaches to implement it. Various simple examples are used to demonstrate the feasibility of the concept. These examples are well-controlled image simulations of simple physical models with known attitude. The algorithm attempts to perform the edge detection and edge registration of the simulated image and calculate the most likely attitude. Though complete autonomy was not achieved during this effort, the concept and approach show applicability.
Title: AN ALGORITHM FOR DETERMINING SATELLITE ATTITUDE BY COMPARING PHYSICAL FEATURE MODELS TO EDGES DETECTED IN SATELLITE OR GROUND-BASED TELESCOPE IMAGERY.
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Name(s): Reinhart, Eric, Author
Johnson, Roger, Committee Chair
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2007
Publisher: University of Central Florida
Language(s): English
Abstract/Description: This thesis discusses the development and performance of an algorithm created to calculate satellite attitude based on the comparison of satellite "physical feature" models to information derived from edge detection performed on imagery of the satellite. The quality of this imagery could range from the very clear, close-up imagery that may come from an unmanned satellite servicing mission to the faint, unclear imagery that may come from a ground-based telescope investigating a satellite anomaly. Satellite "physical feature" models describe where an edge is likely to appear in an image. These are usually defined by physical edges on the structure of the satellite or areas where there are distinct changes in material property. The theory behind this concept is discussed as well as two different approaches to implement it. Various simple examples are used to demonstrate the feasibility of the concept. These examples are well-controlled image simulations of simple physical models with known attitude. The algorithm attempts to perform the edge detection and edge registration of the simulated image and calculate the most likely attitude. Though complete autonomy was not achieved during this effort, the concept and approach show applicability.
Identifier: CFE0001942 (IID), ucf:47450 (fedora)
Note(s): 2007-12-01
M.S.A.E.
Engineering and Computer Science, Department of Mechanical Materials and Aerospace Engineering
Masters
This record was generated from author submitted information.
Subject(s): Satellite
Attitude
Imagery
Model
Algorithm
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0001942
Restrictions on Access: campus 2008-12-04
Host Institution: UCF

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