Automatic GEO object detection algorithms and their implementation in the framework of the Apex II image processing system
- Paper number
IAC-08.A6.1.6
- Author
Mr. Vladimir Kouprianov, Central Astronomical Observatory, RAS, Russia
- Year
2008
- Abstract
Apex II is a general-purpose open software platform for astronomical CCD image processing, currently being developed at Central (Pulkovo) Observatory of the Russian Academy of Sciences and used for data reduction at nearly 20 observatories, mostly of the former Soviet Union. One of its most demanded applications is automated astrometry and photometry of GEO objects in both follow-up observations and regular surveys of the GEO region and other high Earth orbits. Due to the comparatively large amount of data acquired in such observations, this task requires robust and fast automatic detection of Earth-orbiting objects and their discrimination from deep space objects (like field stars). For images acquired with zero or near-zero tracking rates, this is achieved by subtraction of field star trails accompanied by a special kind of binary image filtering. The present work focuses on such techniques and their implementation in Apex II.
- Abstract document
- Manuscript document
IAC-08.A6.1.6.pdf (🔒 authorized access only).
To get the manuscript, please contact IAF Secretariat.