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.


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    Title :

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


    Contributors:


    Publication date :

    1999


    Size :

    9 Seiten, 24 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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