摘要
由于空间和波谱分辨率的不断提高,高光谱遥感影像的海量数据特性导致高光谱遥感影像并行处理成为遥感影像处理技术的发展趋势。本文基于CUDA和GPU环境,设计并实现了高光谱遥感蚀变填图的SCM并行算法。实验结果表明,并行加速比可达到25,SCM并行算法能有效改善算法性能。
As the continuous improvement of the spatial and spectral resolution, hyperspectral remote sensing image data becomes enormous. Hyperspectral remote sensing image parallel processing technology becomes a development trend. Based on the CUDA and GPU experiment environment, this article designs and implements SCM parallel algorithm of hyperspectral alteration mineral mapping. The experimental results show that the parallel speedup can be achieved 25. SCM parallel algorithm can effectively improve the performance of the algorithm.
出处
《软件》
2012年第8期144-146,共3页
Software
