基于统一计算设备架构的干涉成像光谱快速反演技术研究

在基于干涉光谱成像的气体成分实时遥测应用中，为了对推扫获取的原始干涉数据进行快速、有效的反演处理，提出一种结合计算统一设备架构（CUDA）的并行时空混合调制型长波红外干涉光谱反演算法。通过分析自主研制的时空混合调制型干涉光谱仪的数据获取模式，结合CUDA平台实现了并行反演算法。实验结果表明，基于CUDA平台的并行计算技术比仅使用CPU进行计算在效率上提升了5至20倍，为后期进一步做光谱识别打下了基础。

Fast inversion techniques of inteferogram imaging spectrum based on CUDA

In the realtime remote sensing of gas based on inteferogram imaging, fast inversion processing of original data is required.But the data acquired in this way is a large quantity,and the inverse algorithm is also complicated while using CPU for processing is time-consuming.A parallel inversion algorithm using compute unified device architecture (CUDA) was realized by analyzing the patten of data obtained by time-space mix-modulation long-wave infrared interference spectrometer. The results show that the parallel computing technique using CUDA can enhance the efficiency of spectrum inversion by 5 to 20 times,which provides foundations for further application like spectral recognition.