Localization Of Archeological Sites Using Multi-Level Cellular Neural Networks


GÖKNAR İ., BİLGİLİ E., UÇAN O. M. , ALBORA A. M.

World Multiconference on Systemics, Cybernetics and Informatics (SCI), United States Of America, 1 - 04 July 2002, pp.180-184

  • Publication Type: Conference Paper / Full Text
  • Country: United States Of America
  • Page Numbers: pp.180-184

Abstract

 

In this paper, a supervised algorithm, Multi-Level Cellular Neural Network (ML-CNN) is  introduced, developed and then applied to archeological ruins of the Hittite Empire in Turkey. ML-CNN is a stochastic image processing technique which is based on template optimisation using neighbourhood relationships of the pixels.  Hittite civilization sites are among the most important archeological locations in history, one reason among others being that written documentation was first produced by them. The historical sight under investigation with the Multi-Level CNN approach will be the buried walls of the Hittite civilization in Sivas-Altinyayla region of Turkey