A kind of graded sub-pixel motion estimation algorithm combining time-domain characteristics with frequency-domain phase correlation

Bing Xie; Zhemin Duan; Yu Chen

doi:10.1117/12.2292715

15 November 2017 A kind of graded sub-pixel motion estimation algorithm combining time-domain characteristics with frequency-domain phase correlation

Bing Xie, Zhemin Duan, Yu Chen

Author Affiliations +

Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 1060524 (2017) https://doi.org/10.1117/12.2292715
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China

Abstract

The mode of navigation based on scene match can assist UAV to achieve autonomous navigation and other missions. However, aerial multi-frame images of the UAV in the complex flight environment easily be affected by the jitter, noise and exposure, which will lead to image blur, deformation and other issues, and result in the decline of detection rate of the interested regional target. Aiming at this problem, we proposed a kind of Graded sub-pixel motion estimation algorithm combining time-domain characteristics with frequency-domain phase correlation. Experimental results prove the validity and accuracy of the proposed algorithm.

Citation Download Citation

Bing Xie, Zhemin Duan, and Yu Chen "A kind of graded sub-pixel motion estimation algorithm combining time-domain characteristics with frequency-domain phase correlation", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060524 (15 November 2017); https://doi.org/10.1117/12.2292715

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