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dc.contributor.authorAuli-Llinas, Francesc
dc.contributor.authorMarcellin, Michael W.
dc.contributor.authorSanchez, Victor
dc.contributor.authorSerra-Sagrista, Joan
dc.contributor.authorBartrina-Rapesta, Joan
dc.contributor.authorBlanes, Ian
dc.date.accessioned2017-04-21T00:54:39Z
dc.date.available2017-04-21T00:54:39Z
dc.date.issued2016-03
dc.identifier.citationF. Aulí-Llinàs, M. W. Marcellin, V. Sanchez, J. Serra-Sagristà, J. Bartrina-Rapesta and I. Blanes, "Coding Scheme for the Transmission of Satellite Imagery," 2016 Data Compression Conference (DCC), Snowbird, UT, 2016, pp. 427-436. doi: 10.1109/DCC.2016.29en
dc.identifier.issn1068-0314
dc.identifier.doi10.1109/DCC.2016.29
dc.identifier.urihttp://hdl.handle.net/10150/623188
dc.description.abstractThe coding and transmission of the massive datasets captured by Earth Observation (EO) satellites is a critical issue in current missions. The conventional approach is to use compression on board the satellite to reduce the size of the captured images. This strategy exploits spatial and/or spectral redundancy to achieve compression. Another type of redundancy found in such data is the temporal redundancy between images of the same area that are captured at different instants of time. This type of redundancy is commonly not exploited because the required data and computing power are not available on board the satellite. This paper introduces a coding scheme for EO satellites able to exploit this redundancy. Contrary to traditional approaches, the proposed scheme employs both the downlink and the uplink of the satellite. Its main insight is to compute and code the temporal redundancy on the ground and transmit it to the satellite via the uplink. The satellite then uses this information to compress more efficiently the captured image. Experimental results for Landsat 8 images indicate that the proposed dual link image coding scheme can achieve higher coding performance than traditional systems for both lossless and lossy regimes.
dc.description.sponsorshipThis work has been partially supported by the Spanish Government (MINECO), by FEDER, and by the Catalan Government, under Grants RYC-2010-05671, TIN2015- 71126-R, TIN2012-38102-C03-03, and 2014SGR-691.
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7786187/en
dc.rights© 2016, IEEEen
dc.subjectSatellitesen
dc.subjectImage codingen
dc.subjectEarthen
dc.subjectRedundancyen
dc.subjectUplinken
dc.subjectDownlinken
dc.subjectEncodingen
dc.titleCoding Scheme for the Transmission of Satellite Imageryen
dc.typeProceedingsen
dc.contributor.departmentUniv Arizona, Dept Elect & Comp Engnen
dc.identifier.journal2016 DATA COMPRESSION CONFERENCE (DCC)en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal accepted manuscripten
refterms.dateFOA2018-06-27T01:48:04Z
html.description.abstractThe coding and transmission of the massive datasets captured by Earth Observation (EO) satellites is a critical issue in current missions. The conventional approach is to use compression on board the satellite to reduce the size of the captured images. This strategy exploits spatial and/or spectral redundancy to achieve compression. Another type of redundancy found in such data is the temporal redundancy between images of the same area that are captured at different instants of time. This type of redundancy is commonly not exploited because the required data and computing power are not available on board the satellite. This paper introduces a coding scheme for EO satellites able to exploit this redundancy. Contrary to traditional approaches, the proposed scheme employs both the downlink and the uplink of the satellite. Its main insight is to compute and code the temporal redundancy on the ground and transmit it to the satellite via the uplink. The satellite then uses this information to compress more efficiently the captured image. Experimental results for Landsat 8 images indicate that the proposed dual link image coding scheme can achieve higher coding performance than traditional systems for both lossless and lossy regimes.


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