Autonomous Detection of Volcanic Plumes on Outer Planetary Bodies Conference Paper

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. 2012 IEEE.

name of conference

• 2012 IEEE International Conference on Robotics and Automation

authors

• Saripalli, Srikanth

published proceedings

• 2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)

author list (cited authors)

• Lin, Y., Bunte, M., Saripalli, S., & Greeley, R.

citation count

• 2

complete list of authors

• Lin, Yucong||Bunte, Melissa||Saripalli, Srikanth||Greeley, Ronald

publication date

• May 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Conference on Robotics and Automation  Journal

Digital Object Identifier (DOI)

• 10.1109/icra.2012.6224796

International Standard Book Number (ISBN) 13

• 9781467314039

start page

• 3431

end page

• 3436

URL

• http://dx.doi.org/10.1109/icra.2012.6224796