机场场景内的飞机目标及其所处的地物背景具有重要军事应用价值,为了实现对这类目标的检测、识别以及动态监测,需要一套能够在不同季节、不同气象条件、不同时段、不同探测波段等条件下机场场景内飞机/地物红外辐射仿真的软件来提供训练样本。在Visual Studio 2010环境下,利用OpenGL构建了典型机场场景下飞机及地物背景模型,结合传热学和红外辐射理论的分析,将一款用于热红外分析的RadThermIR软件内核嵌入算法中,提出一种计算飞机及其地物背景的红外辐射场模型和构建其红外图像仿真方法。以图像灰度相似度作为评价指标,该方法和真实红外图像相比,仿真精度高于80%,实验结果表明,该方法可为实现全天候机场场景下飞机目标自动检测识别提供丰富的红外特性分析数据和特性知识训练样本。
Specific to the reflected light problem on the surface of transparent body,the polarization characteristics of the reflection region are analyzed,and a polarization characterization model combining the reflection and transmission effects is established.On the basis of the polarization characteristic analysis,the minimum value of normalized cross-correlation(NCC)coefficient between transmission and reflection images is solved through the gradient descent method,and their polarization degrees under the minimum correlation are acquired.According to the distribution relations of the transmitted and reflected lights in perpendicular and parallel directions,reflection separation is realized via the polarized orthogonality difference algorithm based on the degree of reflection polarization and the degree of transmission polarization.
