Satellite video stabilization algorithm based on multiple moving targets in no-control-point scenarios
To address the failure of existing satellite video stabilization algorithms in no-control-point scenarios,a satellite video stabilization algorithm based on multiple moving targets is proposed.This algorithm constructs a framework that integrates target detection,trajectory smoothing,and norm optimization by combining multi-target Kalman filtering,rlowess trajectory smoothing,and L1-L2 norm optimization,ultimately achieving satellite video stabilization.Experiments were conducted using a maritime multi-target ship observation dataset.The results show that the stabilization error of the proposed algorithm can be controlled within 0.3 pixels in both the X and Y directions,and validate the effectiveness of the algorithm.This study fills the technical gap in satellite video stabilization in no-control-point scenarios and has broad and significant engineering application value.
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