2026-09-19T09:28:44Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1060742026-06-06T00:55:46Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Kerri L. Cahoy and Benjamin F. Lane.
Brown, Julian, M. Eng. (Julian A.). Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2016-12-22T16:27:53Z
2016-12-22T16:27:53Z
2016
2016
http://hdl.handle.net/1721.1/106074
965197847
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.
38 pages
eng
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
ROAD : Rapid Optical Asteroid Detection
Rapid Optical Asteroid Detection
Thesis
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<Abstract>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.</Abstract>
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