Aircraft recognition based on nonparametrical statistics

Author

Wang Ling ; Xing Chao ; Yan Jie

Author_Institution

Sch. of Astronaut., Northwestern Polytech. Univ., Xi´an, China

Volume

3

fYear

2011

fDate

26-28 July 2011

Firstpage

1602

Lastpage

1606

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2011 Seventh International Conference on

Conference_Location

Shanghai

ISSN

2157-9555

Print_ISBN

978-1-4244-9950-2

Type

conf

DOI

10.1109/ICNC.2011.6022377

Filename

6022377