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A method for resident space object (RSO) detection in video stream processingusing a set of matched filters has been proposed. Matched filters areconstructed based on the connection between the Fourier spectrum shape of thedifference frame and the magnitude of the linear velocity projection onto theobservation plane. Experimental data were obtained using the mobile opticalsurveillance system for low-orbit space objects. The detection problem intesting mode was solved for raw video data with intensity signals from threedifferent satellites: KORONAS-FOTON, CUSAT 2/FALCON 9, GENESIS 1. Differenceframes of video data with the AQUA satellite pass to construct matched filterswere used. The satellites were automatically detected at points where thedifference in the value of their linear velocity projection and the referencesatellite was close in value. It has been established that the difference inthe inclination angle between the detected satellite intensity signal Fourierimage and the reference satellite mask corresponds to the difference in theinclinations of these objects. The proposed method allows not only to detectbut also to study the motion parameters of both artificial and natural spaceobjects, such as satellites, debris and asteroids.

Resident space object detection method based on the connection between  Fourier spectrum of the video data difference frame and the linear velocity  projection