ABSTRACT Aiming at the traditional optical remote sensing imaging simulation(ORSIS) method can’t meet the requirements of high resolution and precision quantitative remote sensing application, this paper proposes a centimeter-scale three-dimensional scene ORSIS method based on visible light and near infrared. By classifying the texture image of the feature model in the 3D scene, the material texture mapping method is used to distinguish the different materials in the single facet without increasing the facet. Using ray tracing to calculate the radiance at the entrance, the bidirectional reflection characteristics of the target material and the mixed pixel effect are considered. Finally, by comparing the simulation result image with the radiance of the real image taken by GF-2, the relative error between the two is less than 10%. The results show that the method can provide a reference for the research of high-precision 3D digital scenes ORSIS.

中文翻译：

---

高精度3D场景光学遥感成像仿真方法研究

摘要 针对传统的光学遥感成像模拟(ORSIS)方法不能满足高分辨率、高精度定量遥感应用的要求，提出一种基于可见光和近红外的厘米级三维场景ORSIS方法。 . 通过对3D场景中特征模型的纹理图像进行分类，在不增加facet的情况下，采用材质纹理映射的方法来区分单个facet中的不同材质。使用光线追踪计算入口处的辐射，考虑目标材料的双向反射特性和混合像素效应。最后，通过将仿真结果图像与GF-2拍摄的真实图像的辐射率进行对比，两者的相对误差小于10%。