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Research of the fast data processing method for the Infrared fourier transform imaging spectrometer based on CUDA architecture
Author(s): Chunchao Yu; Debiao Du; Fei Xia; Xiaobo Huang; Weijian Zheng; Min Yan; Zhenggang Lei
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Paper 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.

Paper Details

Date Published: 24 October 2017
PDF: 6 pages
Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 104611E (24 October 2017); doi: 10.1117/12.2285362
Show Author Affiliations
Chunchao Yu, Kunming Institute of Physics (China)
Debiao Du, Yunnan Provincial Hospital of Traditional Chinese Medicine (China)
Fei Xia, State Grid Liaoning Electric Power Supply Co., Ltd. (China)
Xiaobo Huang, State Grid Liaoning Electric Power Supply Co., Ltd. (China)
Weijian Zheng, Kunming Institute of Physics (China)
Min Yan, Kunming Institute of Physics (China)
Zhenggang Lei, Kunming Institute of Physics (China)


Published in SPIE Proceedings Vol. 10461:
AOPC 2017: Optical Spectroscopy and Imaging
Jin Yu; Zhe Wang; Wei Hang; Bing Zhao; Xiandeng Hou; Mengxia Xie; Tsutomu Shimura, Editor(s)

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