Title :
Aircraft recognition based on nonparametrical statistics
Author :
Wang Ling ; Xing Chao ; Yan Jie
Author_Institution :
Sch. of Astronaut., Northwestern Polytech. Univ., Xi´an, China
Abstract :
The problem of aircraft recognition in a single image is analyzed. A novel method combined Fourier series representation and nonparametric statistics is introduced to do pattern recognition for aircraft. Silhouettes obtained by image segmentation are described by Fourier series, after which empirical distribution function of curvature is computed. Fast matching is performed with coarse hypothesis test for partial classification. The refined hypothesis test is used to get detailed matching result. Experimental results show the effectiveness of the algorithm for shape recognition.
Keywords :
Fourier series; aerospace computing; aircraft; image recognition; image segmentation; pattern recognition; statistical analysis; Fourier series representation; aircraft recognition; coarse hypothesis; distribution function; image segmentation; nonparametric statistics; nonparametrical statistics; partial classification; pattern recognition; shape recognition; Aircraft; Fourier series; Histograms; Image recognition; Pattern analysis; Shape; Three dimensional displays; Fourier series; aircraft recognition; curvature; nonparametric statistics;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022377
