Moving Object Detection Using a Parallax Shift Vector Algorithm
Autor: | Paul R. Otto, Peter S. Gural, E. F. Tedesco |
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Rok vydání: | 2018 |
Předmět: |
020301 aerospace & aeronautics
Source code Computer science business.industry media_common.quotation_subject Matched filter Astronomy and Astrophysics Field of view 02 engineering and technology 01 natural sciences Object detection Article Software 0203 mechanical engineering Space and Planetary Science Asteroid 0103 physical sciences Pattern matching Parallax business 010303 astronomy & astrophysics Algorithm media_common |
Zdroj: | Publications of the Astronomical Society of the Pacific. Astronomical Society of the Pacific. 130(989) |
ISSN: | 0004-6280 |
Popis: | There are various algorithms currently in use to detect asteroids from ground-based observatories, but they are generally restricted to linear or mildly curved movement of the target object across the field of view. Space based sensors in high inclination, low Earth orbits can induce significant parallax in a collected sequence of images, especially for objects at the typical distances of asteroids in the inner Solar System. This results in a highly non-linear motion pattern of the asteroid across the sensor, which requires a more sophisticated search pattern for detection processing. Both the classical pattern matching used in ground based asteroid search and the more sensitive matched filtering and synthetic tracking techniques, can be adapted to account for highly complex parallax motion. A new shift vector generation methodology is discussed along with its impacts on commonly used detection algorithms, processing load, and responsiveness to asteroid track reporting. The matched filter, template generator, and pattern matcher source code for the software described herein are available via GitHub. |
Databáze: | OpenAIRE |
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