基于成像对比度的微光装备侦察能力研究

Reconnaissance Capability of Low-Light Level Equipment Based on Imaging Contrast

  • 摘要: 针对现有的微光视距模型中变量参数多,难以适用实际复杂夜天环境中目标侦察能力预测的问题,本文根据Ross方程,大气光学传输和远距离侦察图像对比度模型,提出了采用标准靶对比度测试对特定目标侦察能力进行预测的方法,在特定夜天光环境下完成了标准靶对比度曲线测量,并基于最小可分辨对比度(minimum resolvable contrast, MRC)评价模型,对坦克、卡车目标的侦察距离进行了预测,与实际测试值对比,误差在16.2%以内,验证了采用标准靶对比度测试预测目标侦察距离的可行性,该项研究成果对不同背景和环境下微光装备侦察能力分析和评价具有指导价值。

     

    Abstract: There are several variable parameters in the existing low light level sight range model which makes it difficult to predict the target reconnaissance ability in an actual complex nighttime environment. Based on the Ross equation, atmospheric optical transmission and long-distance reconnaissance image contrast model, this study proposes a method to predict the reconnaissance ability of specific targets using a standard target contrast test, and the standard target contrast curve under specific night light environment is provided. With the contrast curve and minimum resolvable contrast (MRC) model, the reconnaissance distance of tank and truck targets is predicted. After comparing the predicted value with the actual test value, the error is within 16.2%, which verifies the feasibility of using standard target contrast to predict the target reconnaissance distance. The results have value in guiding the analysis and evaluation of low light level equipment reconnaissance capability under different backgrounds and environments.

     

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