Dual link image coding for earth observation satellites
Aulí Llinàs, Francesc (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Marcellin, Michael W. (University of Arizona. Department of Electrical and Computer Engineering)
Sánchez, Victor (University of Warwick. Department of Computer Science)
Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Hernandez-Cabronero, Miguel (University of Arizona. Department of Electrical and Computer Engineering)

Data:	2018
Resum:	The conventional strategy to download images captured by satellites is to compress the data on board and then transmit them via the downlink. It often happens that the capacity of the downlink is too small to accommodate all the acquired data, so the images are trimmed and/or transmitted through lossy regimes. This paper introduces a coding system that increases the amount and quality of the downloaded imaging data. The main insight of this paper is to use both the uplink and the downlink to code the images. The uplink is employed to send reference information to the satellite so that the onboard coding system can achieve higher efficiency. This reference information is computed on the ground, possibly employing extensive data and computational resources. The proposed system is called dual link image coding. As it is devised in this paper, it is suitable for Earth observation satellites with polar orbits. Experimental results obtained for data sets acquired by the Landsat 8 satellite indicate significant coding gains with respect to conventional methods.
Ajuts:	Ministerio de Economía y Competitividad TIN2015-71126-R Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-463
Drets:	Tots els drets reservats.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Publicat a:	IEEE transactions on geoscience and remote sensing, Vol. 56, issue 9 (September 2018) , p. 5083-5096, ISSN 1558-0644

DOI: 10.1109/TGRS.2018.2806082

Postprint 15 p, 1.3 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Enginyeries > Group on Interactive Coding of Images (GICI)
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