48 citations · 181 across the 12 of their papers we have counts for
5 papers · 1 filter
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…
Solar Active Region Magnetogram Image Dataset for Studies of Space Weather
Laura E. Boucheron, Ty Vincent, Jeremy A. Grajeda +1
In this dataset we provide a comprehensive collection of magnetograms (images quantifying the strength of the magnetic field) from the National Aeronautics and Space Administration…
Deep Learning Estimation of Modified Zernike Coefficients and Recovery of Point Spread Functions in Turbulence
Abu Bucker Siddik, Steven Sandoval, David Voelz +2
Recovering the turbulence-degraded point spread function from a single intensity image is important for a variety of imaging applications. Here, a deep learning model based on a co…