Recognition of SAR image based on combined templates

Kaiqi Liu, Wenguang Wang, Zuowei Sun

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

2 Citations (Scopus)

Abstract

In this paper, a new recognition algorithm of SAR image which is based on combined templates has been proposed. The new algorithm is based on the traditional mean templates recognition. We use some statistical information of the training samples to make a refusing threshold, which is expected to have the ability that can refuse the non-template-class targets effectively. Meanwhile, the proposed combined templates algorithm can re-recognize those refused targets by another target recognition method called recognition based on features of graphic image knowledge so that we can improve the final recognizing efficiency. Finally, we use MSTAR database to detect the target recognition ability, which can indicate that the algorithm we proposed is effective.

Original languageEnglish
Title of host publicationIST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings
Pages284-287
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Imaging Systems and Techniques, IST 2013 - Beijing, China
Duration: 22 Oct 201323 Oct 2013

Publication series

NameIST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings

Conference

Conference2013 IEEE International Conference on Imaging Systems and Techniques, IST 2013
Country/TerritoryChina
CityBeijing
Period22/10/1323/10/13

Keywords

  • Automatic Target Recognition
  • graphic image feature
  • mean templates
  • refusing threshold

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