Review on Infrared Imaging Technology

Fujin Hou, Yan Zhang, Yong Zhou, Mei Zhang (), Bin Lv () and Jianqing Wu
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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

Sustainability, 2022, vol. 14, issue 18, 1-26

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.

Keywords: image processing; blind element detection and compensation; infrared thermography temperature measurement; target detection and tracking; multi/hyperspectral remote sensing technology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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