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Fast data reconstructed method of Fourier transform imaging spectrometer based on multi-core CPU
Author(s): Chunchao Yu; Debiao Du; Zongze Xia; Li Song; Weijian Zheng; Min Yan; Zhenggang Lei
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Paper Abstract

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 HyperSpectral Imager of ‘HJ-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.

Paper Details

Date Published: 24 October 2017
PDF: 9 pages
Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 1046118 (24 October 2017); doi: 10.1117/12.2285195
Show Author Affiliations
Chunchao Yu, Kunming Institute of Physics (China)
Debiao Du, Yunnan Provincial Hospital of Traditional Chinese Medicine (China)
Zongze Xia, State Grid Liaoning Electric Power Supply Co., Ltd. (China)
Li Song, 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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