Abstract
The electro-optical tracking of a space object is often interrupted by the dropped frames under the interference of stars. In this paper, the two stages of the tracking process, namely the state extrapolation and real-time sampling, are studied from a probabilistic point of view. Based on the theory of estimation, a new method is proposed, which improves the robustness of prediction by utiliz- ing the data-fusion property of Kalman filtering, and realizes the adjustment of the tracking window by the mean shift technique. The corresponding experiment shows that this method can effectively reduce the impact of interferences, and improve the robustness of the tracking process.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
