48 citations · 181 across the 12 of their papers we have counts for
13 papers
Incorporating Magnetic Field Characteristics into EUV-Based Automated Segmentation of Coronal Holes
Jeremy A. Grajeda, Laura E. Boucheron, Michael S. Kirk +3
Coronal holes (CHs) are magnetically open regions that allow hot coronal plasma to escape from the Sun and form the high-speed solar wind. This wind can interact with Earth's magne…
Magnetic Field-Constrained Ensemble Image Segmentation of Coronal Holes in Chromospheric Observations
Jaime A. Landeros, Michael S. Kirk, C. Nick Arge +5
Coronal Holes (CHs) are large-scale, low-density regions in the solar atmosphere which may expel high-speed solar wind streams that incite hazardous, geomagnetic storms. Coronal an…
Estimation of non-uniform motion blur using a patch-based regression convolutional neural network (CNN)
Luis G. Varela, Laura E. Boucheron, Steven Sandoval +2
The non-uniform blur of atmospheric turbulence can be modeled as a superposition of linear motion blur kernels at a patch level. We propose a regression convolutional neural networ…
Neural-based Compression Scheme for Solar Image Data
Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda +6
Studying the solar system and especially the Sun relies on the data gathered daily from space missions. These missions are data-intensive and compressing this data to make them eff…
Quantifying the Consistency and Characterizing the Confidence of Coronal Holes Detected by Active Contours without Edges (ACWE)
Jeremy A. Grajeda, Laura E. Boucheron, Michael S. Kirk +2
Coronal Holes (CHs) are regions of open magnetic field lines, resulting in high speed solar wind. Accurate detection of CHs is vital for space weather prediction. This paper presen…
Estimation of motion blur kernel parameters using regression convolutional neural networks
Luis G. Varela, Laura E. Boucheron, Steven Sandoval +2
Many deblurring and blur kernel estimation methods use a maximum a posteriori (MAP) approach or deep learning-based classification techniques to sharpen an image and/or predict the…