In remote sensing systems, on-board data compression is a crucial task that has to be carried out with limited computational resources. In this paper we propose a novel lossless compression scheme for multispectral and hyperspectral images, which combines low encoding complexity and high-performance. The encoder is based on distributed source coding concepts, and employs Slepian-Wolf coding of the bitplanes of the CALIC prediction errors to achieve improved performance. Experimental results on AVIRIS data show that the proposed scheme exhibits performance similar to CALIC, and significantly better than JPEG 2000.


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    Titel :

    Improved low-complexity intraband lossless compression of hyperspectral images by means of Slepian-Wolf coding


    Beteiligte:
    Nonnis, A. (Autor:in) / Grangetto, M. (Autor:in) / Magli, E. (Autor:in) / Olmo, G. (Autor:in) / Barni, M. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    98286 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Improved Low-Complexity Intraband Lossless Compression of Hyperspectral Images by Means of Slepian-Wolf Coding

    Nonnis, A. / Grangetto, M. / Magli, E. et al. | British Library Conference Proceedings | 2005



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