15 November 2017 A kind of graded sub-pixel motion estimation algorithm combining time-domain characteristics with frequency-domain phase correlation
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bing Xie, Zhemin Duan, 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); doi: 10.1117/12.2292715; https://doi.org/10.1117/12.2292715
PROCEEDINGS
9 PAGES


SHARE
Back to Top