Abstract:

An algorithm is designed to recognize satellites in the sky based on phase difference of a series of images in frequency domain. It is complicated and difficult to recognize the satellites merely through stars’ characteristics because the satellites traced are always surrounded by a large number of stars. One frame image in a series of images is compensated and compared with its adjacent frame. From the comparison, the odd object can be recognized by the character of Fourier phase difference. Then frame subtraction method is used to eliminate fake objects. Finally the movement of tracing object is described. Meanwhile an improved algorithm of image binarization based on twodimension histogram is designed to strength its antinoise ability. At the end the experiment shows that the error between this algorithm recognition and human capture is less than one pixel.

Key words: Fourier phase difference, twodimension histogram, object recognition