CAJ | 학술논문

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。
침대고광보요감수거량대、운산시간장적문제，탐토고광보요감수거처리산법적병행화책략，연구병행처리기술재고광보요감수거처리중적응용모식，병이고광보요감중적주성분분석산법위례，대해산법진행병행우화，통과실험험증료해기술방법적유효성。실험수거표명，채용병행처리방식대해결해량고광보요감수거처리시간장적문제구유흔호적효과。
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 o{ 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.