SH34A:
Computer Vision Codes in Solar Physics: Challenges and Limitations II

Wednesday, 17 December 2014: 4:00 PM-6:00 PM
Chairs:  Bala Poduval, Space Science Institute Boulder, Boulder, CO, United States, Craig E DeForest, Southwest Research Institute, Boulder, CO, United States and Markus J. Aschwanden, Lockheed Martin Solar and Astrophysics Laboratory, Palo Alto, CA, United States
Primary Conveners:  Bala Poduval, Southwest Research Institute, Boulder, CO, United States; Space Science Institute Boulder, Boulder, CO, United States
Co-conveners:  Craig E DeForest, Southwest Research Institute, Boulder, CO, United States and Markus J. Aschwanden, Lockheed Martin Solar and Astrophysics Laboratory, Palo Alto, CA, United States
OSPA Liaisons:  Bala Poduval, Space Science Institute Boulder, Boulder, CO, United States

Abstracts Submitted to this Session:

4:00 PM
 
Introductory Remarks
4:03 PM
 
Magnetic Feature Tracking in the SDO Era: Past Sacrifices, Recent Advances, and Future Possibilities
Derek A Lamb1, Craig E DeForest1 and Samuel Van Kooten2, (1)Southwest Research Institute, Boulder, CO, United States, (2)University of Colorado at Boulder, Astrophysical & Planetary Sciences, Boulder, CO, United States
4:21 PM
 
Noise Modeling of SDO AIA Images
Michael S Kirk and C Alex Young, NASA Goddard Space Flight Center, Greenbelt, MD, United States
4:36 PM
 
Computer Vision: Discovery And Opportunity Await
Scott William Mcintosh, High Altitude Observatory, Boulder, CO, United States
4:54 PM
 
Automatic vs. Human Detection of Bipolar Magnetic Regions: Using the Best of Both Worlds
Andres Munoz-Jaramillo1, Michael D DeLuca2, John C Windmueller1 and Dana W Longcope1, (1)Montana State University, Bozeman, MT, United States, (2)University of Pittsburgh Pittsburgh Campus, Pittsburgh, PA, United States
5:09 PM
 
The Distribution and Behaviour of Photospheric Magnetic Features
Clare E Parnell, University of St Andrews, St Andrews, KY16, United Kingdom, Derek A Lamb, Southwest Research Institute Boulder, Boulder, CO, United States and Craig E DeForest, Southwest Research Institute, Boulder, CO, United States
5:27 PM
 
Mining of Solar Big Data: Challenges and Opportunities
Rafal Angryk, Georgia State University, Atlanta, GA, United States
5:45 PM
 
First Science Results from Solar Data Mining Using Automated Feature Detection
Petrus C Martens, Georgia State University, Physics & Astronomy, Atlanta, GA, United States