Aircraft pose estimation based on integrated feature matching

Author

Ji Bing ; Shan Gan-lin ; Zhou Yun-feng ; Zhang Hui-yong

Author_Institution

Opt. & Electron. Eng. Dept., Ordnance Eng. Coll., Shijiazhuang, China

fYear

2009

fDate

25-27 May 2009

Firstpage

226

Lastpage

229

Abstract

Integrated feature matching algorithm is proposed for aircraft pose estimation based on image sequence. The algorithm chooses posture ratio and correlation coefficient with good distribution as integrated feature, which fuses shape and statistic information. Matching principle is optimization of integrated objective function, which ensures that the ultimate result is global optimal solution. Correlation coefficient is calculated exactly via location and size registration, and applied flexibly in matching. Simulation results show precision and reliability of the algorithm.

Keywords

aircraft; correlation methods; image matching; image sequences; optimisation; pose estimation; aircraft pose estimation; correlation coefficient; good distribution; image sequence; integrated feature matching algorithm; integrated objective function; size registration; statistic information; Aerospace electronics; Aerospace engineering; Aircraft propulsion; Image sensors; Image sequences; Radar imaging; Radar tracking; Shape; TV; Target tracking; correlation coefficient; integrated feature; matching; pose;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-2799-4

Electronic_ISBN

978-1-4244-2800-7

Type

conf

DOI

10.1109/ICIEA.2009.5138201

Filename

5138201