  A method for resident space object (RSO) detection in video stream processing
using a set of matched filters has been proposed. Matched filters are
constructed based on the connection between the Fourier spectrum shape of the
difference frame and the magnitude of the linear velocity projection onto the
observation plane. Experimental data were obtained using the mobile optical
surveillance system for low-orbit space objects. The detection problem in
testing mode was solved for raw video data with intensity signals from three
different satellites: KORONAS-FOTON, CUSAT 2/FALCON 9, GENESIS 1. Difference
frames of video data with the AQUA satellite pass to construct matched filters
were used. The satellites were automatically detected at points where the
difference in the value of their linear velocity projection and the reference
satellite was close in value. It has been established that the difference in
the inclination angle between the detected satellite intensity signal Fourier
image and the reference satellite mask corresponds to the difference in the
inclinations of these objects. The proposed method allows not only to detect
but also to study the motion parameters of both artificial and natural space
objects, such as satellites, debris and asteroids.
