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Proceedings Paper

UAV location research based on region feature
Author(s): Jianghong Li; Liang Chen; Yuanhu Cai
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Paper Abstract

Positioning control of UAV is one of the research areas of autonomous navigation. Regional feature matching algorithm is commonly used in the positioning control of UAVs. This paper proposes a regional feature matching algorithm, in which edges and gray-levels within image regions are extracted. The correspondences between regional features are then obtained in terms of invariant moments and chain-code representation of regions. The transformation parameters are estimated based on the centers of gravity of regions. Experimental results show the effectiveness of the proposed algorithm using salient regional features.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953L (30 October 2009); doi: 10.1117/12.833604
Show Author Affiliations
Jianghong Li, Northwestern Polytechnical Univ. (China)
Liang Chen, Northwestern Polytechnical Univ. (China)
Yuanhu Cai, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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