• Photonic Sensors
  • Vol. 8, Issue 2, 134 (2018)
Tiezhu QIAO1, Lulu CHEN1、*, Yusong PANG2, and Gaowei YAN3
Author Affiliations
  • 1Key Lab of Advanced Transducers and Intelligent Control System, Ministry of Education and Shanxi Province, Taiyuan University of Technology, Taiyuan, 030024, China
  • 2Section of Transport Engineering and Logistics, Faculty of 3mE, Delft University of Technology, Mekelweg 2, 2628CD, Netherlands
  • 3College of Information Engineering, Taiyuan University of Technology, Taiyuan, 030024, China
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    DOI: 10.1007/s13320-018-0401-4 Cite this Article
    Tiezhu QIAO, Lulu CHEN, Yusong PANG, Gaowei YAN. Integrative Multi-Spectral Sensor Device for Far-Infrared and Visible Light Fusion[J]. Photonic Sensors, 2018, 8(2): 134 Copy Citation Text show less

    Abstract

    Infrared and visible light image fusion technology is a hot spot in the research of multi-sensor fusion technology in recent years. Existing infrared and visible light fusion technologies need to register before fusion because of using two cameras. However, the application effect of the registration technology has yet to be improved. Hence, a novel integrative multi-spectral sensor device is proposed for infrared and visible light fusion, and by using the beam splitter prism, the coaxial light incident from the same lens is projected to the infrared charge coupled device (CCD) and visible light CCD, respectively. In this paper, the imaging mechanism of the proposed sensor device is studied with the process of the signals acquisition and fusion. The simulation experiment, which involves the entire process of the optic system, signal acquisition, and signal fusion, is constructed based on imaging effect model. Additionally, the quality evaluation index is adopted to analyze the simulation result. The experimental results demonstrate that the proposed sensor device is effective and feasible.
    Tiezhu QIAO, Lulu CHEN, Yusong PANG, Gaowei YAN. Integrative Multi-Spectral Sensor Device for Far-Infrared and Visible Light Fusion[J]. Photonic Sensors, 2018, 8(2): 134
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