Image target detection using morphological neural network

Cheng Tian Song*, Ke Yong Wang

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

It is known that detecting small targets in remotely sensed image is difficult and challenging work. Filter neural network is designed to detect target which based morphological, structure element is used as network parameter, by competition and cooperation, network parameter is adjusted. Morphologic changed-weight neural network algorithm is used to realize small infrared target detection under complex background. Experimental results of using the above detector to detect real infrared targets are also included. These results demonstrate that the new detector yields a promising solution for the detection problems of small targets.

Original languageEnglish
Title of host publicationCIS 2009 - 2009 International Conference on Computational Intelligence and Security
Pages234-236
Number of pages3
DOIs
Publication statusPublished - 2009
Event2009 International Conference on Computational Intelligence and Security, CIS 2009 - Beijing, China
Duration: 11 Dec 200914 Dec 2009

Publication series

NameCIS 2009 - 2009 International Conference on Computational Intelligence and Security
Volume1

Conference

Conference2009 International Conference on Computational Intelligence and Security, CIS 2009
Country/TerritoryChina
CityBeijing
Period11/12/0914/12/09

Keywords

  • Morphologcial
  • Neural network
  • Target detection

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