RAS_poster_4.pdf (1.01 MB)
Coronal Hole Detection Using Multi-wavelength EUV Images
Version 2 2016-01-11, 11:17
Version 1 2016-01-06, 11:15
figure
posted on 2016-01-11, 11:17 authored by Tadhg GartonTadhg Garton, Peter GallagherPeter GallagherA poster for the RAS conference at 8th Jan 2016 describing the use of an algorithm to automatically segment images to highlight coronal holes.
This algorithm uses multi-passband images from AIA aboard SDO to classify each pixel as either coronal hole or quiet Sun.
This algorithm uses multi-passband images from AIA aboard SDO to classify each pixel as either coronal hole or quiet Sun.
Funding
Irish Research Council
History
Usage metrics
Categories
- Applications in physical sciences
- Plasma physics; fusion plasmas; electrical discharges
- Other physical sciences not elsewhere classified
- High energy astrophysics and galactic cosmic rays
- Astroparticle physics and particle cosmology
- Solar system planetary science (excl. planetary geology)
- Astronomical instrumentation
- Solar physics
- Software engineering not elsewhere classified
- Image processing
Keywords
SolarPhysicsCoronalCoronaHolesAutomatedDetectionAlgorithmOff-limbMultiPassbandThermalModelQuietSunImageSegmentationComputational PhysicsPlasma PhysicsPhysical Sciences not elsewhere classifiedAstrophysicsSolar System, Solar Physics, Planets and ExoplanetsInstrumentation, Techniques, and Astronomical ObservationsSpace and Solar PhysicsComputer SoftwareImage Processing
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC