Detecting geo debris images via voting of motion trajectory features

Koki Fujita, Naoyuki Ichimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this work, we propose a novel technique to detect and track images of debris 011 Geosynchronous Earth Orbit (GEO). As for ground-based observations using high-resolution CCD camera, some effective techniques have been proposed to detect and track the debris images for the GEO region in the past studies. Most of them treat stepwise methods starting at image preprocessing, such as binarization, noise removal, etc. However, image preprocessing algorithms sometimes need to adjust the parameters included in them in arbitrary manner, and they may cause enormous computational time or removal of faint and small debris images. In this study, aiming at more directly estimating debris trajectories from the original time-series imagery, a detecting and tracking method for the debris images based on a voting algorithm is proposed. Focusing on a search observation approach, most of the stars and the debris on GEO appear to be point-like in the image frames, and the trajectories of them are approximated to be line segments in the spatiotemporal domain for relatively short time slot. While the star images are more populous and brighter than the debris images in the image frames, their motion trajectories are more distinguishing than the trajectories of debris images. Therefore, considering such characteristic motions of the celestial objects in the image sequence, the star images are effectively removed by a histogram voting. Consequently, the exact debris images can be detected as the trajectories which linearly move in constant velocities in the group of the remaining debris candidate objects. The effectiveness of the proposed method is validated through a test measurement using real image sequences.

Original languageEnglish
Title of host publication63rd International Astronautical Congress 2012, IAC 2012
Pages2212-2219
Number of pages8
Volume3
Publication statusPublished - 2012
Event63rd International Astronautical Congress 2012, IAC 2012 - Naples, Italy
Duration: Oct 1 2012Oct 5 2012

Other

Other63rd International Astronautical Congress 2012, IAC 2012
CountryItaly
CityNaples
Period10/1/1210/5/12

Fingerprint

voting
debris
Debris
trajectory
Trajectories
trajectories
Stars
geosynchronous orbits
Orbits
Earth orbits
Earth (planet)
preprocessing
stars
CCD cameras
Time series
histogram

All Science Journal Classification (ASJC) codes

  • Space and Planetary Science
  • Aerospace Engineering
  • Astronomy and Astrophysics

Cite this

Fujita, K., & Ichimura, N. (2012). Detecting geo debris images via voting of motion trajectory features. In 63rd International Astronautical Congress 2012, IAC 2012 (Vol. 3, pp. 2212-2219)

Detecting geo debris images via voting of motion trajectory features. / Fujita, Koki; Ichimura, Naoyuki.

63rd International Astronautical Congress 2012, IAC 2012. Vol. 3 2012. p. 2212-2219.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fujita, K & Ichimura, N 2012, Detecting geo debris images via voting of motion trajectory features. in 63rd International Astronautical Congress 2012, IAC 2012. vol. 3, pp. 2212-2219, 63rd International Astronautical Congress 2012, IAC 2012, Naples, Italy, 10/1/12.
Fujita K, Ichimura N. Detecting geo debris images via voting of motion trajectory features. In 63rd International Astronautical Congress 2012, IAC 2012. Vol. 3. 2012. p. 2212-2219
Fujita, Koki ; Ichimura, Naoyuki. / Detecting geo debris images via voting of motion trajectory features. 63rd International Astronautical Congress 2012, IAC 2012. Vol. 3 2012. pp. 2212-2219
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