An Efficient Numerical Approach for Field Infrared Smoke Transmittance Based on Grayscale Images
Source abstract
Abstract
Infrared smoke screen has been playing an important role in electro-optical countermeasures on the battlefield. Smoke transmittance is one of the most important parameters which can evaluate the obscuration performance of smoke. In this paper, an efficient numerical approach for field infrared smoke transmittance based on grayscale images is presented. Firstly, a field trial experimental setup is introduced. Then a grayscale smoke transmittance mathematical model is deduced and built. In addition, an image processing algorithm is used to extract the gray values of certain pixel points from grayscale images, and the positions of the selected points are discussed. Lastly, a field trial sample calculation is included to illustrate the procedure of the proposed method. The results prove to be of enough precision for engineering applications, and the method has greatly simplified the field trial process, thus improving efficiency.
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Research context
OpenAlex topics: Infrared Target Detection Methodologies · Advanced Measurement and Detection Methods · Fire Detection and Safety Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Funding
National Natural Science Foundation of China
References (22)
Show source-provided references
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