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
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