Grant: Engage Grants Program
Centre de recherche informatique de Montréal
$15,000.00
Resolution Enhancement of Satellite Imagery using Deep Learning Techniques
FY 2017-18
Summary
The main goal of the project is to explore the use of machine learning techniques for enhancing the resolutionof multispectral satellite images. The quality of the enhancement will be measured by the quality of variousindicators (vegetation index, etc.) that will be derived from the enhanced images.
Program
Engage Grants Program
Location
Quebec, Canada
Recipient Type
Not-for-profit organization or charity
Type
Grant
Source
NSERC's Awards Data
As published
Application id
508685-2017
Name nom
Foucher, Samuel
Department département
Recherche et Développement
Organization id
71
Institution établissement
Centre de recherche informatique de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
15000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1552
Committee name en
Quebec Internal Decision Committee
Committee name fr
Comité de décision interne pour le Québec
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
4102
Research subject group en
Geographical information
Research subject group fr
Information géographique
Research subject en
Remote sensing
Research subject fr
Télédétection
Partie
1
Nb partie
1
Application title
Resolution Enhancement of Satellite Imagery using Deep Learning Techniques
Keyword
NSERC
Application summary
The main goal of the project is to explore the use of machine learning techniques for enhancing the resolutionof multispectral satellite images. The quality of the enhancement will be measured by the quality of variousindicators (vegetation index, etc.) that will be derived from the enhanced images.
