ROAD : Rapid Optical Asteroid Detection
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2016
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Online Access: | http://hdl.handle.net/1721.1/106074 |
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author | Brown, Julian, M. Eng. (Julian A.). Massachusetts Institute of Technology |
author2 | Kerri L. Cahoy and Benjamin F. Lane. |
author_facet | Kerri L. Cahoy and Benjamin F. Lane. Brown, Julian, M. Eng. (Julian A.). Massachusetts Institute of Technology |
author_sort | Brown, Julian, M. Eng. (Julian A.). Massachusetts Institute of Technology |
collection | MIT |
description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
first_indexed | 2024-09-23T15:03:37Z |
format | Thesis |
id | mit-1721.1/106074 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T15:03:37Z |
publishDate | 2016 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1060742019-04-12T17:20:30Z ROAD : Rapid Optical Asteroid Detection Rapid Optical Asteroid Detection Brown, Julian, M. Eng. (Julian A.). Massachusetts Institute of Technology Kerri L. Cahoy and Benjamin F. Lane. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 37-38). Here we present Tilt and the Three-Dimensional Discrete Radon Transform (3DRT), efficient image processing algorithms capable of identifying streaks at the detection limit in video of the night sky. Tilt and the 3DRT are asymptotically optimal algorithms for the blind search problem, which seeks to identify near-Earth asteroids of arbitrary position and velocity using ground-based optical systems. In the process of establishing the optimality of these algorithms, we formalize the blind search streak detection problem and survey several other state of the art algorithms that solve it: synthetic tracking, Fourier volume rendering, and the Approximate Discrete Radon Transform (ADRT). We also discuss the lessons learned from implementing a near-Earth asteroid detection system which demonstrated the 3DRT's capabilities by identifying five satellite streaks. by Julian Brown. M. Eng. 2016-12-22T16:27:53Z 2016-12-22T16:27:53Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106074 965197847 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 38 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Brown, Julian, M. Eng. (Julian A.). Massachusetts Institute of Technology ROAD : Rapid Optical Asteroid Detection |
title | ROAD : Rapid Optical Asteroid Detection |
title_full | ROAD : Rapid Optical Asteroid Detection |
title_fullStr | ROAD : Rapid Optical Asteroid Detection |
title_full_unstemmed | ROAD : Rapid Optical Asteroid Detection |
title_short | ROAD : Rapid Optical Asteroid Detection |
title_sort | road rapid optical asteroid detection |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/106074 |
work_keys_str_mv | AT brownjulianmengjulianamassachusettsinstituteoftechnology roadrapidopticalasteroiddetection AT brownjulianmengjulianamassachusettsinstituteoftechnology rapidopticalasteroiddetection |