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自然界的地表是非常复杂的 ,影响其温度分布和红外辐射特性的因素很多 ,如地表的起伏、土壤类型、植被类型、土壤湿度和气象条件等。要精确计算自然地表的温度和红外辐射特性 ,生成红外图像 ,必须建立考虑各种影响因素的三维传热传质模型。这种方法要花费大量的计算时间 ,是不实用的。文中利用一维模型的计算结果并结合随机模拟方法 ,针对具体自然地表 (不同植被、裸露地表等 )的实际红外辐射强度的相关长度、均方根误差以及相邻像素点的空间距离 ,模拟生成了自然地表的红外图像。探测器的视场和视角对观察到的图像影响是很大的 ,对同一地面区域 ,使用不同视场的探测器观察 ,得到的图像不同 ,即使使用同一探测器 ,如果用不同的视角观察同一区域 ,得到的图像也是不同的。因此文中根据不同的红外探测器视场以及同一探测器的不同的视角 ,将该图像转换成了红外探测器视场内的图像 ,分析了对应不同视场和视角的自然地表红外图像的特征。
The surface of nature is very complex. There are many factors that affect its temperature distribution and infrared radiation characteristics, such as surface undulation, soil types, vegetation types, soil moisture and weather conditions. To accurately calculate the natural surface temperature and infrared radiation characteristics, to generate infrared images, we must establish a three-dimensional heat and mass transfer model considering various factors. This method takes a lot of computing time, is not practical. In this paper, the calculation results of one-dimensional model and the stochastic simulation method are used to simulate the correlation length, root-mean-square error and the spatial distance of the neighboring pixels according to the actual infrared radiation intensity of specific natural surface (different vegetation, bare surface, etc.) Infrared image of the natural surface. The field of view and the angle of view of the detector have a great influence on the observed image. For the same ground area, the viewpoints of the detectors using different fields of view are different. Even if the same detector is used, if the same detector is used, Region, the resulting image is different. Therefore, the image is converted into the image of the infrared detector’s field of view according to the different field of view of the infrared detector and the different perspectives of the same detector, and the characteristics of the natural surface infrared image corresponding to different fields of view and angle of view are analyzed.