Multi-Aspect Data Fusion Applied to Electromagnetic Target Classification using Enetic Algorithm


Sayan G.

Multisensor Fusion, Hyder A.K.,Shahbazian E.,Waltz E., Editör, Kluwer Academic Publishers, Dordrecht, ss.533-539, 2002

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2002
  • Yayınevi: Kluwer Academic Publishers
  • Basıldığı Şehir: Dordrecht
  • Sayfa Sayıları: ss.533-539
  • Editörler: Hyder A.K.,Shahbazian E.,Waltz E., Editör
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Electromagnetic target detection and classification is an important problem relevant not only to military applications but also to civilian use. In the problem of a breast tumor detection and identification [1], for instance, the main concern is accuracy. In the case of the recognition of a military target such as an aircraft or a ship, on the other hand, speed of classification is as important as the accuracy of the decision as such a decision should be made within a fraction of a second. For the K-pulse target identification technique used in this research, the K-pulse design phase is rather complicated and time consuming but the interactive decision process, that is the only phase of identification to be completed in real-time, is very simple and fast.