On-board lossless hyperspectral data compression reduces data volume in order to meet NASA and DoD limited downlink capabilities. At JPL, a novel, adaptive and predictive technique for lossless compression of hyperspectral data, named the Fast Lossless (FL) algorithm, was recently developed. This technique uses an adaptive filtering method and achieves state-of-the-art performance in both compression effectiveness and low complexity. Because of its outstanding performance and suitability for real-time onboard hardware implementation, the FL compressor is being formalized as the emerging CCSDS Standard for Lossless Multispectral & Hyperspectral image compression. The FL compressor is well-suited for parallel hardware implementation. A GPU hardware implementation was developed for FL targeting the current state-of-the-art GPUs from NVIDIA®. The GPU implementation on a NVIDIA® GeForce® GTX 580 achieves a throughput performance of 583.08 Mbits/sec (44.85 MSamples/sec) and an acceleration of at least 6 times a software implementation running on a 3.47 GHz single core Intel® Xeon™ processor. This paper describes the design and implementation of the FL algorithm on the GPU. The massively parallel implementation will provide in the future a fast and practical real-time solution for airborne and space applications.


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    Titel :

    GPU lossless hyperspectral data compression system for space applications


    Beteiligte:
    Keymeulen, Didier (Autor:in) / Aranki, Nazeeh (Autor:in) / Hopson, Ben (Autor:in) / Kiely, Aaron (Autor:in) / Klimesh, Matthew (Autor:in) / Benkrid, Khaled (Autor:in)


    Erscheinungsdatum :

    01.03.2012


    Format / Umfang :

    948070 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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