Complexity Evaluation of Aerial Infrared Countermeasure Scenes

Unmanned aerial vehicles (UAVs) are being increasingly deployed in modern battlefields owing to their low cost, stealth capabilities, and challenging interception. The recent Russian-Ukrainian conflict has further highlighted the widespread and far-reaching impact of UAVs. Therefore, the offensive and defensive countermeasures for UAVs have attracted considerable research attention. With the development of various optoelectronic interference methods, the complexity of the battlefield environments of UAVs has increased, posing significant challenges for infrared (IR) target identification and tracking. This study explored methodologies for evaluating IR counter-measure scenes involving UAVs. A detailed survey of the extensive literature on scene evaluation was conducted for the quantitative assessment of factors