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Intelligent target recognition based on data fusion

  • Tie Zhu Zhang*
  • , Hong Jiang
  • *Corresponding author for this work
  • Beihang University

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

Abstract

In order to improve the performance and reliability of* automatic target recognition system, an intelligent target recognition method based on the data fusion of radar and infrared sensor is proposed. For infrared sensor, the image target recognition algorithm based on wavelet moment and BP neural network is proposed; for radar sensor, the target recognition method based on fuzzy reasoning is proposed. Finally, Dempster-Shafer theory is used to combine the two basic probability assignment functions and achieve the data fusion of radar and infrared sensor. Simulation experiments indicate that the recognition results by data fusion of two sensors is better than that by single sensor.

Original languageEnglish
Title of host publication2009 1st International Conference on Information Science and Engineering, ICISE 2009
Pages1311-1314
Number of pages4
DOIs
StatePublished - 2009
Event1st International Conference on Information Science and Engineering, ICISE2009 - Nanjing, China
Duration: 26 Dec 200928 Dec 2009

Publication series

Name2009 1st International Conference on Information Science and Engineering, ICISE 2009

Conference

Conference1st International Conference on Information Science and Engineering, ICISE2009
Country/TerritoryChina
CityNanjing
Period26/12/0928/12/09

Keywords

  • Data fusion
  • Dempster-Shafer theory
  • Fuzzy reasoning
  • Neural network
  • Target recognition
  • Wavelet moment

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