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Skeleton model based space image registration method

Space target image registration plays an irreplaceable role in space surveillance. Therefore, it is necessary to obtain a clear space target image as a space surveillance precaution data support. This paper studies the camera model and it mainly analyzes the image features and show that the harris feature isn't proper to use as a stable space target image feature. By extracting the skeleton features of the real image, we find that the gray value of the image has good application value to meet the different imaging conditions of space target image registration for space target image recognition and image multi-frame clarity and other means of space surveillance and lay a firm foundation.