At present, super-resolution reconstruction technology is widely used in remote sensing as an effective means to improve the resolution. The super-resolution reconstruction technique reconstructs a series of low-resolution images into one high-resolution image by using complementary information provided by images pixel displacements. In this paper, the satellite video comes from Durango Mexico is used as experimental data. The Vandewalle motion estimation method and Interpolation reconstruction method are used to reconstruct the satellite video images, and the quality evaluation combines subjective evaluation with objective evaluation to appraise the results comprehensively and effectively. Experimental results show that static feature edges reconstructed by Interpolation reconstruction method are even more smooth and clear, and the detail information is more abundant, which can effectively improve the resolution of satellite video images.
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