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Improving the Spatial Resolution of Imaging Instruments Using SoftwareIn order to overcome spatial resolution limitations associated with physical sensor limitations when using smallsats and cubesats, we utilize an image processing technology referred to as Super-Resolution (SR). In general, software approaches are increasingly considered in connection with smaller satellites for which size, mass and power constraints limit the sensor capabilities. Being able to perform hardware vs. software trades might enable more capabilities for a lower cost. This paper describes recent experiments conducted to optimize the spatial enhancement of acquired observations using multiple sub-pixel shifted low resolution image.
Document ID
20180005180
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Mareboyana, Manohar
(Bowie State Univ. MD, United States)
Le Moigne, Jacqueline
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Dabney, Philip
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
September 10, 2018
Publication Date
July 22, 2018
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
GSFC-E-DAA-TN58988
Report Number: GSFC-E-DAA-TN58988
Meeting Information
Meeting: International Geoscience And Remote Sensing Symposium (IGARSS 2018)
Location: Valenica
Country: Spain
Start Date: July 22, 2018
End Date: July 27, 2018
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNG15CR67C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Image Processing
radial basiss functions
super-resolution
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