Reference number : GC-2017-Q1-00491, amendment number : , agreement type : G, recipient legal name : Foucher, Samuel (Centre de recherche informatique de Montréal), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : The main goal of the project is to explore the use of machine learning techniques for enhancing the resolution_x000D_
of multispectral satellite images. The quality of the enhancement will be measured by the quality of various_x000D_
indicators (vegetation index, etc.) that will be derived from the enhanced images., program purpose french : The main goal of the project is to explore the use of machine learning techniques for enhancing the resolution_x000D_
of multispectral satellite images. The quality of the enhancement will be measured by the quality of various_x000D_
indicators (vegetation index, etc.) that will be derived from the enhanced images., agreement title english : Resolution Enhancement of Satellite Imagery using Deep Learning Techniques, agreement title french : Resolution Enhancement of Satellite Imagery using Deep Learning Techniques, agreement number : EGP, agreement value : 15000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada