Abstract
High resolution Fourier transform imaging spectrometer has both high spatial resolution and high spectral resolution features, but the spectral reconstruction is time consuming. For the inversion of data cube of self-developed 1024 pixel (spectral dimension)×1024 pixel (image wide)×1024 pixel (image high) high resolution ultraviolet Fourier transform imaging spectrometer, a parallel optimization algorithm is designed by analyzing the process of Fourier transform spectrum reconstruction. The experimental results show that the transforming time of 512M and 2G data cube are only 88.33 seconds and 489.75 seconds on the 6 core processors. Speedup ratio is about 3.70 and 3.04 respectively, which improve the operation efficiency effectively. If the algorithm is applied to more cores processor, higher speedup ratio and less computation time can be obtained.
Original language | English |
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Pages (from-to) | 193-196 |
Number of pages | 4 |
Journal | Guangxue Jishu/Optical Technique |
Volume | 42 |
Issue number | 3 |
Publication status | Published - 1 May 2016 |
Keywords
- Fourier transform
- High resolution Fourier transform imaging spectrometer
- Imaging spectrometer
- Interference data cube reconstruction
- Spectroscopy