Research of the fast data processing method for the Infrared fourier transform imaging spectrometer based on CUDA architecture

Chunchao Yu; Debiao Du; Fei Xia; Xiaobo Huang; Weijian Zheng; Min Yan; Zhenggang Lei

doi:10.1117/12.2285362

24 October 2017 Research of the fast data processing method for the Infrared fourier transform imaging spectrometer based on CUDA architecture

Chunchao Yu, Debiao Du, Fei Xia, Xiaobo Huang, Weijian Zheng, Min Yan, Zhenggang Lei

Author Affiliations +

Proceedings Volume 10461, AOPC 2017: Optical Spectroscopy and Imaging; 104611E (2017) https://doi.org/10.1117/12.2285362
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

The windowing static spectrometer has the advantage of high spectral resolution and high flux. Then combined the spectrometer reconstruction processing algorithms with the new computer technology CUDA, for the large spectral data and the suitable of being processed in parallel lines. Researched the parallel algorithms and programming including the cube data access, restructuring , filtering, mirroring and FFT. The results show that, compared with the traditional spectral reconstruction algorithms, CUDA-based spectral reconstruction has been greatly speeds up the spectral reconstruction.

Citation Download Citation

Chunchao Yu, Debiao Du, Fei Xia, Xiaobo Huang, Weijian Zheng, Min Yan, and Zhenggang Lei "Research of the fast data processing method for the Infrared fourier transform imaging spectrometer based on CUDA architecture ", Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 104611E (24 October 2017); https://doi.org/10.1117/12.2285362

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