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Activity Number: 485
Type: Contributed
Date/Time: Wednesday, August 7, 2013 : 8:30 AM to 10:20 AM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #310128
Title: Identifying Solar Thermal Features
Author(s): Nathan Stein*+
Companies: Harvard University Statistics Department
Keywords: Astrostatistics ; Image analysis
Abstract:

Solar astronomy relies on telescopes that produce massive streams of high-resolution multiband images, and automatically identifying images or features for scientific follow-up is crucial if the data from these telescopes are to be fully utilized. Interesting activity in the raw images of the solar corona will likely be noticed, but interesting thermal features and processes may be missed. Thermal activity is easily overlooked because temperature information is captured by the relative intensities in different passbands, while the absolute levels are not relevant. Segmenting images based on the pixel-wise proportions of photons observed in each band reveals structure not evident in the original, untransformed images, and comparing this structure to the raw images can help in identifying promising features for further investigation.


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