Aircraft recognition based on nonparametrical statistics

Ling Wang, Chao Xing, Jie Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
Pages1602-1606
Number of pages5
DOIs
StatePublished - 2011
Event2011 7th International Conference on Natural Computation, ICNC 2011 - Shanghai, China
Duration: 26 Jul 201128 Jul 2011

Publication series

NameProceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
Volume3

Conference

Conference2011 7th International Conference on Natural Computation, ICNC 2011
Country/TerritoryChina
CityShanghai
Period26/07/1128/07/11

Keywords

  • aircraft recognition
  • curvature
  • Fourier series
  • nonparametric statistics

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