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Proceedings Paper

A kind of graded sub-pixel motion estimation algorithm combining time-domain characteristics with frequency-domain phase correlation
Author(s): Bing Xie; Zhemin Duan; Yu Chen
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Paper 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.

Paper Details

Date Published: 15 November 2017
PDF: 9 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060524 (15 November 2017); doi: 10.1117/12.2292715
Show Author Affiliations
Bing Xie, Northwestern Polytechnical Univ. (China)
Zhemin Duan, Northwestern Polytechnical Univ. (China)
Yu Chen, Zhengzhou Univ. of Aeronautics (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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