CPU-GPU异构系统在光学遥感影像处理中的应用

Application of CPU-GPU heterogeneous system in optical remote sensing image processing

  • 摘要: 近年来,CPU-GPU异构系统在光学遥感影像数据处理领域的应用得到了广泛关注。首先介绍CPU-GPU异构系统的体系架构及发展历程。其次,介绍光学遥感影像数据处理流程。接下来,对CPU-GPU异构系统在光学遥感影像预处理、后续处理领域应用现状进行介绍。最后对CPU-GPU异构系统在光学遥感影像数据处理系统中的应用进行分析和总结,分析可知,CPU-GPU异构系统在光学遥感影像数据处理领域应用具有可行性且前景广阔,但仍需解决算法并行化设计、优化及CPU和GPU负载平衡等关键问题,这对推动CPU-GPU异构系统在光学遥感影像数据处理中的应用具有重要意义。

     

    Abstract: In recent years, the application of CPU-GPU heterogeneous system in the field of optical remote sensing image data processing has received wide attention. Firstly, the architecture and development of CPU-GPU heterogeneous system were introduced. Next, the process of optical remote sensing image data processing was introduced. Then, the application of CPU-GPU heterogeneous system in optical remote sensing image preprocessing, follow-up processing data processing was introduced. Finally, the application of CPU-GPU heterogeneous system in optical remote sensing image data processing system was analyzed and summarized. The analysis shows that the CPU-GPU heterogeneous system is feasible and has a wide prospect in the field of optical remote sensing image data processing, but still needs to solve the key problems such as parallelizing design and optimization of the algorithm, the load balance of CPU and GPU, which is of great significance to promote the application of the CPU-GPU heterogeneous system in the optical remote sensing image data processing.

     

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