Orbital objects detection algorithm using faint streaks

Makoto Tagawa, Toshifumi Yanagisawa, Hirohisa Kurosaki, Hiroshi Oda, Toshiya Hanada

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


This study proposes an algorithm to detect orbital objects that are small or moving at high apparent velocities from optical images by utilizing their faint streaks. In the conventional object-detection algorithm, a high signal-to-noise-ratio (e.g., 3 or more) is required, whereas in our proposed algorithm, the signals are summed along the streak direction to improve object-detection sensitivity. Lower signal-to-noise ratio objects were detected by applying the algorithm to a time series of images. The algorithm comprises the following steps: (1) image skewing, (2) image compression along the vertical axis, (3) detection and determination of streak position, (4) searching for object candidates using the time-series streak-position data, and (5) selecting the candidate with the best linearity and reliability. Our algorithm's ability to detect streaks with signals weaker than the background noise was confirmed using images from the Australia Remote Observatory.

Original languageEnglish
Pages (from-to)929-937
Number of pages9
JournalAdvances in Space Research
Issue number4
Publication statusPublished - Feb 15 2016

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Astronomy and Astrophysics
  • Geophysics
  • Atmospheric Science
  • Space and Planetary Science
  • Earth and Planetary Sciences(all)


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