抄録
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.
| 元の言語 | 英語 |
|---|---|
| ページ（範囲） | 929-937 |
| ページ数 | 9 |
| ジャーナル | Advances in Space Research |
| 巻 | 57 |
| 発行部数 | 4 |
| DOI | |
| 出版物ステータス | 出版済み - 2 15 2016 |
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All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Space and Planetary Science
これを引用
Orbital objects detection algorithm using faint streaks. / Tagawa, Makoto; Yanagisawa, Toshifumi; Kurosaki, Hirohisa; Oda, Hiroshi; Hanada, Toshiya.
：: Advances in Space Research, 巻 57, 番号 4, 15.02.2016, p. 929-937.研究成果: ジャーナルへの寄稿 › 記事
}
TY - JOUR
T1 - Orbital objects detection algorithm using faint streaks
AU - Tagawa, Makoto
AU - Yanagisawa, Toshifumi
AU - Kurosaki, Hirohisa
AU - Oda, Hiroshi
AU - Hanada, Toshiya
PY - 2016/2/15
Y1 - 2016/2/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84954287574&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954287574&partnerID=8YFLogxK
U2 - 10.1016/j.asr.2015.10.034
DO - 10.1016/j.asr.2015.10.034
M3 - Article
VL - 57
SP - 929
EP - 937
JO - Advances in Space Research
JF - Advances in Space Research
SN - 0273-1177
IS - 4
ER -