Parallel processing for SAR image generation in CUDA – GPGPU platform
نویسندگان
چکیده
High resolution imagery from synthetic aperture radar (SAR) video data requires numerical computations of the order of gigaflops (GFLOP). The computational burden increases with the image size and the amount of input raw video signals. General purpose graphic processor units (GPGPU) can play a pivotal role in parallel processing the raw video data to generate SAR imagery in a much faster process. In this paper, we show utilization of GPGPU processors in compute unified device architecture (CUDA) environment for implementation of a parallel algorithm for SAR image generation.
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