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Hyperspectral ground scenes are the most complex and influential factors in the hyperspectral remote sensing system. Based on the radiative transmission process of satellite-borne hyperspectral remote sense, researched the radiative transmission model of the atmosphere at the entrance pupil of a non-uniform Lambertian surface. Simplified the model considered the reflectance of the target and neighboring pixels, and the radiance of the atmospheric transmission factor. Introduced the principle of photon diffusion in the atmosphere, and used the Monte Carlo method to simulate the atmospheric diffusion function. Calculated the reflectivity of neighboring cells based on the non-uniform Lambertian surface by combining the reflectance data of the target surface. Summarized the principle and steps of the radiance data at the entrance pupil for MOTDRAN, and used it to invert the relevant atmospheric transmission parameters of the Lambertian surface. Finally used radiance data based on the entrance pupil of the sensor to characterize the hyperspectral ground scene.