AI Article Synopsis

  • Effective shielding area is important for evaluating smoke screens in military scenarios, but traditional assessment methods are slow and imprecise.
  • A study introduced a new technique using a thermal infrared sensor that captures images through smoke, allowing for efficient contour detection and smoke transmittance analysis.
  • This method simplifies the process, requiring only one sensor in field trials, leading to greater efficiency and practical applicability in determining smoke screen effectiveness.

Article Abstract

Effective shielding area is a crucial indicator for the evaluation of the infrared smoke-obscuring effectiveness on the battlefield. The conventional methods for assessing the shielding area of the smoke screen are time-consuming and labor intensive, in addition to lacking precision. Therefore, an efficient and convincing technique for testing the effective shielding area of the smoke screen has great potential benefits in the smoke screen applications in the field trial. In this study, a thermal infrared sensor with a mid-wavelength infrared (MWIR) range of 3 to 5 μm was first used to capture the target scene images through clear as well as obscuring smoke, at regular intervals. The background subtraction in motion detection was then applied to obtain the contour of the smoke cloud at each frame. The smoke transmittance at each pixel within the smoke contour was interpolated based on the data that was collected from the image. Finally, the smoke effective shielding area was calculated, based on the accumulation of the effective shielding pixel points. One advantage of this approach is that it utilizes only one thermal infrared sensor without any other additional equipment in the field trial, which significantly contributes to the efficiency and its convenience. Experiments have been carried out to demonstrate that this approach can determine the effective shielding area of the field infrared smoke both practically and efficiently.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982648PMC
http://dx.doi.org/10.3390/s18051450DOI Listing

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