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    Coding Scheme for the Transmission of Satellite Imagery

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    Author
    Auli-Llinas, Francesc
    Marcellin, Michael W.
    Sanchez, Victor
    Serra-Sagrista, Joan
    Bartrina-Rapesta, Joan
    Blanes, Ian
    Affiliation
    Univ Arizona, Dept Elect & Comp Engn
    Issue Date
    2016-03
    Keywords
    Satellites
    Image coding
    Earth
    Redundancy
    Uplink
    Downlink
    Encoding
    
    Metadata
    Show full item record
    Publisher
    IEEE
    Citation
    F. 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.2016.29
    Journal
    2016 DATA COMPRESSION CONFERENCE (DCC)
    Rights
    © 2016, IEEE
    Collection Information
    This 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.
    Abstract
    The 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.
    ISSN
    1068-0314
    DOI
    10.1109/DCC.2016.29
    Version
    Final accepted manuscript
    Sponsors
    This 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.
    Additional Links
    http://ieeexplore.ieee.org/document/7786187/
    ae974a485f413a2113503eed53cd6c53
    10.1109/DCC.2016.29
    Scopus Count
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    UA Faculty Publications

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