Statistics – Computation
Scientific paper
Sep 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006dps....38.2408w&link_type=abstract
American Astronomical Society, DPS meeting #38, #24.08; Bulletin of the American Astronomical Society, Vol. 38, p.522
Statistics
Computation
Scientific paper
Since the discovery of active plumes on Enceladus, there has been significant interest in studying the relevant observations and determining what evidence they may provide of subsurface liquid ice and cryovolcanism. In support of this goal, we have developed a method for automatically analyzing images of spherical bodies to determine whether a plume is present. The same technique can also be used to detect similar phenomena, such as volcanic eruptions on Io or comet outgassing. It is computationally efficient enough to run on a typical spacecraft processor, permitting the automated analysis of images as they are acquired to enable fast prioritization of data for transmission back to Earth. Onboard analysis can greatly increase the amount of temporal coverage of a given target, and therefore also increase the number of positive detections of events as they happen.
Bue B.
Castano Rebecca
Davies Abigail
Wagstaff Kiri
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