Forecasting the geomagnetic activity several days in advance using neural networks driven by solar EUV imaging
G Bernoux, A Brunet, É Buchlin… - Journal of …, 2022 - Wiley Online Library
Many models of the near‐Earth's space environment (radiation belts, ionosphere, upper
atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance …
atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance …
[HTML][HTML] Magnetic grid resolution enhancement using machine learning: A case study from the Eastern Goldfields Superterrane
Densely sampled geophysical surveys are a key driver for mineral exploration, but sample
density, and therefore grid resolution, is limited by survey cost. Consequently, computational …
density, and therefore grid resolution, is limited by survey cost. Consequently, computational …
Attention-based generative neural image compression on solar dynamics observatory
NASA's Solar Dynamics Observatory (SDO) mission gathers 1.4 terabytes of data each day
from its geosynchronous orbit in space. SDO data includes images of the Sun captured at …
from its geosynchronous orbit in space. SDO data includes images of the Sun captured at …
Neural-based Compression Scheme for Solar Image Data
A Zafari, A Khoshkhahtinat, JA Grajeda… - … on Aerospace and …, 2023 - ieeexplore.ieee.org
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 …
space missions. These missions are data-intensive and compressing this data to make them …
Multi-Spectral Entropy Constrained Neural Compression of Solar Imagery
Missions studying the dynamic behaviour of the Sun are defined to capture multi-spectral
images of the sun and transmit them to the ground station in a daily basis. To make …
images of the sun and transmit them to the ground station in a daily basis. To make …
Deep regression for imaging solar magnetograms using pyramid generative adversarial networks
R Alshehhi - Proceedings of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
Monitoring a large active region in the farside of the Sun is important for space weather
forecasting. However, direct imaging of the farside is currently not available and usually …
forecasting. However, direct imaging of the farside is currently not available and usually …
[图书][B] A Novel Machine Learning Methodology to Calibrate SDO/AIA and Unveil the Internal Magnetic Structure of ICMEs
LFG dos Santos - 2021 - search.proquest.com
Instruments onboard heliophysics space missions provide a pool of information about the
Sun's activity and the interplanetary medium via the measurement of the magnetic field …
Sun's activity and the interplanetary medium via the measurement of the magnetic field …