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Review on Infrared Imaging Technology

Author

Listed:
  • Fujin Hou

    (Shandong Hi-Speed Construction Management Group Co., Ltd., Jinan 250001, China)

  • Yan Zhang

    (TECH Traffic Engineering Group Co., Ltd., Beijing 100048, China)

  • Yong Zhou

    (Shandong High-Speed Group Co., Ltd., Jinan 250014, China)

  • Mei Zhang

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Bin Lv

    (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Jianqing Wu

    (School of Qilu Transportation, Shandong University, Jinan 250002, China
    Suzhou Research Institute, Suzhou 215000, China)

Abstract

The application of infrared camera-related technology is a trending research topic. By reviewing the development of infrared thermal imagers, this paper introduces several main processing technologies of infrared thermal imagers, expounds the image nonuniformity correction, noise removal, and image pseudo color enhancement of infrared thermal imagers, and briefly analyzes some main algorithms used in image processing. The technologies of blind element detection and compensation, temperature measurement, target detection, and tracking of infrared thermal imager are described. By analyzing the main algorithms of infrared temperature measurement, target detection, and tracking, the advantages and disadvantages of these technologies are put forward. At the same time, the development of multi/hyperspectral infrared remote sensing technology and its application are also introduced. The analysis shows that infrared thermal imager processing technology is widely used in many fields, especially in the direction of autonomous driving, and this review helps to expand the reader’s research ideas and research methods.

Suggested Citation

  • Fujin Hou & Yan Zhang & Yong Zhou & Mei Zhang & Bin Lv & Jianqing Wu, 2022. "Review on Infrared Imaging Technology," Sustainability, MDPI, vol. 14(18), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11161-:d:908242
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    References listed on IDEAS

    as
    1. Dawei Yang & Zhihan Lv, 2021. "Target Tracking Algorithm Based on Adaptive Scale Detection Learning," Complexity, Hindawi, vol. 2021, pages 1-11, June.
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