Research of night sky radiation spectral matching method based on genetic algorithm

Shao Lin Zheng, Xia Wang, Wei Qi Jin, Xiao Feng Bai

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In order to satisfy the needs of testing the performance of the low-light level night vision device indoor, the spectrums of sunny sky full moon and clear night sky stars were simulated. First of all, the spectral range of low-light level night vision device was studied to make sure the spectral bands. Then the night sky radiation was analyzed for the spectrum bands, the appropriate light source was selected. The filter transmittance curves was got by calculating target spectral and source spectrum, andthe filter complied with the condition approximately was found out. Spectral structure based on genetic algorithm was proposed to calculate the best match model of the 47 existing kinds of filter to fit the spectrum. The experimental results show that the spectral structure technique based on genetic algorithm for night sky spectral fitting is higher compatibility.

Original languageEnglish
Article number0330002
JournalGuangzi Xuebao/Acta Photonica Sinica
Volume45
Issue number3
DOIs
Publication statusPublished - 1 Mar 2016

Keywords

  • Genetic algorithms
  • Image intensifier
  • Moon spectrum
  • Night sky radiator
  • Night vision system
  • Spectral matching
  • Star spectrum

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