Search CORE

1 research outputs found

Multi-modal global surveillance methodology for predictive and on-demand characterization of localized processes using cube satellite platforms and deep learning techniques

Author: 3U CubeSat Platform
Aati
Achey
Ackert
Aerospace Emergency Rescue and Mishap Response Information
Aftergood
Airbus
Anderson
Anupoju
Ash Plumes
Backgrounder
Bastan
Behrendt
Bhupendra
Bowditch
Brill
Brownlee
Calex Electronics Limited
Carroll
Cary
Caterpillar
Caterpillar
Caterpillar
Caterpillar
Caterpillar
Caterpillar
Caterpillar
Champagne
Chitumbo
Chollet
Clark
Clerbaux
Cottini
CubeSatShop
Culhne
Earth Observing System
Earth Observing System
EnduroSat
EnduroSat
EnduroSat
EnduroSat
European Union Aviation Safety Agency
Fernandez-saldivar
Fires and Thermal Environments
Gerhardt
Globalstar
Havens
Hinton
Hong
Hoots
Hsu
Ioffe
Jasani
JLG Industries
Kelso
Kongsberg Satellite Services AS
Krebs
Kuenzer
LandInfo Worldwide Mapping LLC
Lee
Li
Li
Mahulikar
Manolakis
Martin
Mason
NASA CubeSat Launch Initiative
NASA Technology Transfer Program
National Aeronautics and Space Administration
Nieto-peroy
Ozone Monitoring Instrument
Pack
Peral
Piro
Quevenco
Ruder
Santhoshkumar
Satellite Imaging Corporation
Schwarz
Selva
Snell
Spears
STARS project
Storm
The Editors of Encyclopedia Britannica
The Emirates Group
University of Washington
US Air Force
US Department of Labor
US Department of Transportation Federal Highway Administration
US Environmental Protection Agency
Wann
Wheel Trenchers
Worledge
Wright
Publication venue: 'Elsevier BV'
Publication date
Field of study

core