Alexandria M. Russell, Northrop Grumman Mission Systems, Randall J. Alliss, Northrop Grumman Mission Systems, Billy D. Felton, Northrop Grumman Mission Systems
Keywords: Machine Learning, Atmospherics, Imaging, Transmission forecasts
Abstract:
Space-based applications from imaging to optical communications are significantly impacted by the atmosphere. Specifically, the occurrence of clouds and optical turbulence can determine whether a mission is a success or a failure. In the case of space-based imaging applications, clouds produce atmospheric transmission losses that can make it impossible for an electro-optical platform to image its target. Hence, accurate predictions of negative atmospheric effects are a high priority in order to facilitate the efficient scheduling of resources.
Date of Conference: September 19-22, 2017
Track: Poster