Abstract
dc:description.abstractHere 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.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Brown, Julian, M. Eng. (Julian A.). Massachusetts Institute of Technology
- Advisor dc:contributor.advisor
-
- Kerri L. Cahoy and Benjamin F. Lane.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- 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.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/106074
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/106074