Abstract Details
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.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.