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Multi-sensor target detection based on evidence reasoning theory

  • Northwestern Polytechnical University Xian

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

1 Scopus citations

Abstract

Fusing the image information obtained by sensors could make full use of all sensor information. DS theory is popular in fusion field. Aim to multi-sensor target detecting, the paper proposes a method. First target will be segmented from single sensor image. Then the features is extracted in ROI Thirdly the fusion is made by DS. Experimental results demonstrates that the method could efficiently detect target by using multi-sensor images.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control Conference, CCC 2013
PublisherIEEE Computer Society
Pages3971-3974
Number of pages4
ISBN (Print)9789881563835
StatePublished - 18 Oct 2013
Event32nd Chinese Control Conference, CCC 2013 - Xi'an, China
Duration: 26 Jul 201328 Jul 2013

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference32nd Chinese Control Conference, CCC 2013
Country/TerritoryChina
CityXi'an
Period26/07/1328/07/13

Keywords

  • Evidence Reasoning Theory
  • fusion detecting
  • target detecting

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