基于多核CPU的干涉成像光谱仪快速数据重建方法

Fast Data Reconstructed Method of Fourier Transform Imaging Spectrometer Based on Multi-core CPU

成像光谱仪作为一种航空航天遥感器工作,可以同时得到地物的二维空间图像信息和一维光谱的丰富信息,在颜色和光谱测量、真彩色图像合成、军事侦察等领域有着很高的实用价值。为了达到对干涉成像光谱仪数据快速处理的要求,使用OpenMP并行计算技术设计了基于多核CPU的成像光谱仪快速数据重建优化算法,并将其应用到我国"环境一号"卫星的高光谱数据处理任务中。实验结果表明,基于多核的并行计算技术能有效调动多核CPU的硬件资源,大幅度提高光谱重建处理任务的计算效率。如果将该技术应用到更多核的并行计算工作站上,单台计算机完成干涉成像光谱仪数据的实时处理任务将成为可能。

Imaging spectrometer can gain two-dimensional space image and one-dimensional spectrum at the same time, which shows high utility in color and spectral measurements, the true color image synthesis, military reconnaissance and so on. In order to realize the fast reconstructed processing of the Fourier transform imaging spectrometer data, the paper designed the optimization reconstructed algorithm with OpenMP parallel calculating technology, which was further used for the optimization process for the Hyper Spectral Imager of ＇H J-1＇ Chinese satellite. The results show that the method based on multi-core parallel computing technology can control the multi-core CPU hardware resources competently and significantly enhance the calculation of the spectrum reconstruction processing efficiency. If the technology is applied to more cores workstation in parallel computing, it will be possible to complete Fourier transform imaging spectrometer real-time data processing with a single computer.