高光谱遥感主成分分析算法并行计算研究

摘要

针对高光谱遥感数据量大、运算时间长的问题,探讨高光谱遥感数据处理算法的并行化策略,研究并行处理技术在高光谱遥感数据处理中的应用模式,并以高光谱遥感中的主成分分析算法为例,对该算法进行并行优化,通过实验验证了该技术方法的有效性.实验数据表明,采用并行处理方式对解决海量高光谱遥感数据处理时间长的问题具有很好的效果.%Hyperspectral remote sensing has been wildly used in land and resource management. To address the problems of large amount of data and long time calculation, this paper discusses the parallel strategy of hyperspectral remote sensing data algorithms and studies the application mode of parallel computing in dealing with hyperspectral remote sensing data. The paper optimizes the Principal Component Analysis in hyperspectral remote sensing and through experiments confirms the effectiveness of the method. The experimental statistics have proved the feasibility of the parallel computing in dealing with the problems of large amount of data and long time calculation in hyperspectral remote sensing data processing.