Title :
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
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;
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
DOI :
10.1109/ICIEA.2009.5138201
