Abstract:

The detection of small targets in time sequence of orbit star images is a critical problem encountered in the spacebased surveillance for geosynchronous earth orbit satellites. The background clutter suppression and the small targets segmentation are significant for the detection and metric parameter estimation of moving targets. To solve this problem, a rapid segmentation algorithm based on small domain filter for small star map targets is proposed. Firstly, the mean and standard deviation of the Gauss background is gotten by adopting the leastsquare fitting method. Then, a small domain filter is used to suppress the background clutter. Finally, the low pixel gray values are removed through a constant threshold. Simulation results show that the proposed algorithm can keep the total edges of stars and moving targets and is the foundation of the quick tracking of targets.