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Autonomous Detection of Particles and Tracks in Optical Images

التفاصيل البيبلوغرافية
العنوان: Autonomous Detection of Particles and Tracks in Optical Images
المؤلفون: Andrew J. Liounis, Jeffrey L. Small, Jason C. Swenson, Joshua R. Lyzhoft, Benjamin W. Ashman, Kenneth M. Getzandanner, Michael C. Moreau, Coralie D. Adam, Jason M. Leonard, Derek S. Nelson, John Y. Pelgrift, Brent J. Bos, Steven R. Chesley, Carl W. Hergenrother, Dante S. Lauretta
المصدر: Earth and Space Science, Vol 7, Iss 8, Pp n/a-n/a (2020)
بيانات النشر: American Geophysical Union (AGU), 2020.
سنة النشر: 2020
المجموعة: LCC:Astronomy
LCC:Geology
مصطلحات موضوعية: active asteroid, particle tracking, particle detection, image processing, Astronomy, QB1-991, Geology, QE1-996.5
الوصف: Abstract When optical navigation images acquired by the OSIRIS‐REx (Origins, Spectral Interpretation, Resource Identification, and Security‐Regolith Explorer) mission revealed the periodic ejection of particles from asteroid (101955) Bennu, it became a mission priority to quickly identify and track these objects for both spacecraft safety and scientific purposes. The large number of particles and the mission criticality rendered time‐intensive manual inspection impractical. We present autonomous techniques for particle detection and tracking that were developed in response to the Bennu phenomenon but that have the capacity for general application to particles in motion about a celestial body. In an example OSIRIS‐REx data set, our autonomous techniques identified 93.6% of real particle tracks and nearly doubled the number of tracks detected versus manual inspection alone.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2333-5084
Relation: https://doaj.org/toc/2333-5084
DOI: 10.1029/2019EA000843
URL الوصول: https://doaj.org/article/0bc3157e06ae48b58d090806a6a11926
رقم الأكسشن: edsdoj.0bc3157e06ae48b58d090806a6a11926
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23335084
DOI:10.1029/2019EA000843