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The Research of Parallel Wavelet Transform Algorithms on Remote Sensing Image

机译:遥感图像的并行小波变换算法研究

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Focusing on the Wavelet Transform, the paper explores four parallel Wavelet Transform algorithms and techniques from the perspectives of data parallel and algorithm parallel for remote sensing images. Among them, the algorithm based on "Working Pool Parallel" achieves dynamic load balance without any limits to the scale of the data and the number of the Slaves. Therefore, this algorithm is easier to achieve the goal of processing the vast data of remote sensing images rapidly in the distributed network systems.
机译:本文以小波变换为重点,从数据并行和遥感图像并行算法的角度探讨了四种并行小波变换算法和技术。其中,基于“工作池并行”的算法实现了动态负载平衡,而对数据规模和从站数量没有任何限制。因此,该算法更容易达到在分布式网络系统中快速处理遥感图像海量数据的目的。

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