Future military scenarios will rely on advanced imaging sensor technology beyond the visible spectrum to gain total battlefield awareness. Real-time processing of these data streams requires tremendous computational workloads and I/O throughputs. This paper presents three applications for hyper-spectral data streams, vector quantization, region autofocus, and K-means clustering, on the SIMD Pixel Processor (SIMPil). In SIMPil, an image sensor array (focal plane) is integrated on top of a SIMD computing layer to provide direct coupling between sensors and processors, alleviating I/O bandwidth bottlenecks while maintaining low power consumption and portability. Simulation results with sustained operation throughputs of 500-1500 Gops/sec support real-time performance and promote focal plane processing on SIMPil.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Hyper-spectral image processing applications on the SIMD Pixel Processor for the digital battlefield


    Beteiligte:
    Chai, S.M. (Autor:in) / Gentile, A. (Autor:in) / Lugo-Beauchamp, W.E. (Autor:in) / Cruz-Rivera, J.L. (Autor:in) / Wills, D.S. (Autor:in)


    Erscheinungsdatum :

    1999


    Format / Umfang :

    9 Seiten, 24 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Impact of Pixel per Processor Ratio on Embedded SIMD Architectures

    Gentile, A. / Wills, D. / IEEE | British Library Conference Proceedings | 2001




    A reconfigurable SIMD-MIMD processor architecture for embedded vision processing applications

    Prengler,A. / Adi,K. / NEC Electronics America,US | Kraftfahrwesen | 2009