17 citations · 27 across the 4 of their papers we have counts for
4 papers
Unsupervised Change Detection of Extreme Events Using ML On-Board
Vít Růžička, Anna Vaughan, Daniele De Martini +5
In this paper, we introduce RaVAEn, a lightweight, unsupervised approach for change detection in satellite data based on Variational Auto-Encoders (VAEs) with the specific purpose…
Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning
Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli +7
Solar activity plays a quintessential role in influencing the interplanetary medium and space-weather around the Earth. Remote sensing instruments onboard heliophysics space missio…
Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning
Brad Neuberg, Souvik Bose, Valentina Salvatelli +6
As a part of NASA's Heliophysics System Observatory (HSO) fleet of satellites,the Solar Dynamics Observatory (SDO) has continuously monitored the Sun since2010. Ultraviolet (UV) an…
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona
Valentina Salvatelli, Souvik Bose, Brad Neuberg +6
Understanding and monitoring the complex and dynamic processes of the Sun is important for a number of human activities on Earth and in space. For this reason, NASA's Solar Dynamic…