• DocumentCode
    2409997
  • Title

    Autonomous detection of volcanic plumes on outer planetary bodies

  • Author

    Lin, Yucong ; Bunte, Melissa ; Saripalli, Srikanth ; Greeley, Ronald

  • Author_Institution
    Sch. of Earth & Space Exploration, Arizona State Univ., Tempe, AZ, USA
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    3431
  • Lastpage
    3436
  • Abstract
    We experimentally evaluated the efficacy of various autonomous supervised classification techniques for detecting transient geophysical phenomena. We demonstrated methods of detecting volcanic plumes on the planetary satellites Io and Enceladus using spacecraft images from the Voyager, Galileo, New Horizons, and Cassini missions. We successfully detected 73-95% of known plumes in images from all four mission datasets.Additionally, we showed that the same techniques are applicable to differentiating geologic features, such as plumes and mountains, which exhibit similar appearances in images.
  • Keywords
    artificial satellites; geophysical image processing; image classification; object detection; planetary satellites; volcanology; Cassini missions; Enceladus planetary satellite; Galileo; Io planetary satellite; New Horizons; Voyager; autonomous detection; autonomous supervised classification techniques; geologic features; mission datasets; outer planetary bodies; spacecraft images; transient geophysical phenomena detection; volcanic plumes detection; Arrays; Decision trees; Feature extraction; Space vehicles; Support vector machines; Training; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6224796
  • Filename
    6224796