Field IR transmittance through emissive smokes: Method for extracting radiance from thermal imaging

Haoran Tang, Jingbiao Wei, Zunning Zhou*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In a smoke environment, target recognition is a pivotal problem faced by imaging-guided weapons and reconnaissance equipment. In fact, the transmittance of smoke is the main hindrance to recognition. In this study, a numerical method for extracting pixel radiance to calculate infrared (IR) smoke transmittance is proposed. First, a description of the field test and the equation governing the transmittance of IR smoke are introduced. Next, a method for extracting pixel radiance from an IR image is presented; specifically, a scheme that uses a bicubic interpolation algorithm, to calculate the radiance of the background pixels is presented. Finally, the steps of the method are illustrated through a test example. The results show that the new method eliminates the anomaly of the transmittance value being less than 0 or greater than 1, and in addition, yields sufficiently accurate solutions for engineering applications.

Original languageEnglish
Article number106596
JournalOptics and Lasers in Engineering
Volume142
DOIs
Publication statusPublished - Jul 2021

Keywords

  • Grayscale image
  • Image interpolation
  • Infrared radiance
  • Infrared thermography
  • Smoke transmittance

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