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Generation of multi-spectral scene images under different weather conditions

机译:在不同天气条件下产生多光谱场景图像

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Different kinds of atmospheric media and variation of weather conditions make the generation of multi-spectral out-door scene image quite complex. In this paper, we propose a new approach to realistically generate the multi-spectral scene images under different weather conditions. We first establish the geometrical models of several special weather phenomena. The method of three-dimension cellular automata is adopted to construct the cloud, and particle system is used to model the rain. After that we calculate the radiance of different wavebands for cloud, fog, rain under different weather conditions. The radiance components, such as self-emitted radiance, reflected radiation, transmitted radiance, are calculated separately and the total radiance is thus acquired. Then, based on the spectral radiance values of cloud, rain and fog calculated by above models, we construct the scene under different weather conditions. Finally multi-spectral scene images under different weather conditions are rendered realistically. Simulation results show the potential of our approach.
机译:不同种类的大气介质和天气条件的变化使得多光谱外场景图像非常复杂。在本文中,我们提出了一种新的方法来在不同的天气条件下实际地生成多光谱场景图像。我们首先建立几种特殊天气现象的几何模型。采用三维蜂窝自动机的方法构建云,粒子系统用于模拟雨水。之后,我们计算不同天气条件下的云,雾,雨的不同波段的辐射。单独计算辐射分量,例如自发射辐射,反射辐射,透射辐射,并因此获得了总辐射。然后,根据上述模型计算的云,雨和雾的光谱光辐射值,我们在不同的天气条件下构建场景。最后,在不同天气条件下的多光谱场景图像现实地呈现。仿真结果表明了我们方法的潜力。

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