TY - JOUR
T1 - Field IR transmittance through emissive smokes
T2 - Method for extracting radiance from thermal imaging
AU - Tang, Haoran
AU - Wei, Jingbiao
AU - Zhou, Zunning
N1 - Publisher Copyright:
© 2021
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - Grayscale image
KW - Image interpolation
KW - Infrared radiance
KW - Infrared thermography
KW - Smoke transmittance
UR - http://www.scopus.com/inward/record.url?scp=85101886281&partnerID=8YFLogxK
U2 - 10.1016/j.optlaseng.2021.106596
DO - 10.1016/j.optlaseng.2021.106596
M3 - Article
AN - SCOPUS:85101886281
SN - 0143-8166
VL - 142
JO - Optics and Lasers in Engineering
JF - Optics and Lasers in Engineering
M1 - 106596
ER -