UAV location research based on region feature

Jianghong Li; Liang Chen; Yuanhu Cai

doi:10.1117/12.833604

30 October 2009 UAV location research based on region feature

Jianghong Li, Liang Chen, Yuanhu Cai

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74953L (2009) https://doi.org/10.1117/12.833604
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Jianghong Li, Liang Chen, and Yuanhu Cai "UAV location research based on region feature", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953L (30 October 2009); https://doi.org/10.1117/12.833604

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