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Critical data processing technology for spectral image inversion in a static computational spectral imager

Liu Yang-Yang Lü Qun-Bo Zeng Xiao-Ru Huang Min Xiang Li-Bin

Critical data processing technology for spectral image inversion in a static computational spectral imager

Liu Yang-Yang, Lü Qun-Bo, Zeng Xiao-Ru, Huang Min, Xiang Li-Bin
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  • Abstract views:  879
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  • Received Date:  26 June 2012
  • Accepted Date:  06 November 2012
  • Published Online:  20 March 2013

Critical data processing technology for spectral image inversion in a static computational spectral imager

  • 1. Academy of Opto-electronics, Chinese Academy of Sciences, Key Laboratory of Computational Optics Imaging Technology, Beijing 100094, China
Fund Project:  Project supported by the National High Technology Research and Development Program of China (Grant No. 2011AA7012022).

Abstract: To carry out spectral image inversion in a static computational spectral imager is a crucial step for accomplishing its theoretical advantages, so the data processing technology for spectral image inversion will determine the final spectral image achieved. Focusing on the spectral image inversion, we have investigated various algorithms such as image reconstruction, image compressed sensing and spectral image inversion theories, and compared them carefully. By taking into account the data transmission link of the system and the error in the engineering development process, a comprehensive simulation is carried out. The key issue of spectral image inversion, and also how to use the inversion algorithms to achieve its optimized routes are pointed out. So a detailed analysis for realizing the theoretical advantages and ensuring instrument technology development is provided.

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