Home – Home – Jornals – Avtometriya 2025 number 5

Under fluctuating meteorological parameters of the atmosphere (temperature, humidity, etc.), the infrared image can dynamically change its contrast and brightness characteristics. This leads to the fact that the morphological imaging pattern of the detected object is subject to changes. The main reason is the inhomogeneity of the atmosphere, which affects the propagation of infrared radiation from the source to the thermal camera, as well as the profile of the object, which characterizes its heat distribution in the field of view of the infrared imager. In this paper, we search for stable features of the morphological imaging pattern for automatic pattern recognition in the middle wavelength infrared range (3-5 μm) relative to the weather conditions and object profile. It is shown that the feature of the middle infrared contrast, which is the difference between the warmest elements of the object and the image background, is an invariant characteristic that can be used in automatic target recognition problems. The results of the experiment for vehicles demonstrate the effectiveness of this parameter relative to changing temperature and humidity of the environment. However, the profile of the object can distort the “stability” of the middle infrared contrast due to the geometric arrangement of the heat-carrying vehicle elements.