A new method of SAR image segmentation based on neural network

Xiao Rong Xue, Yan Ning Zhang, Rong Chun Zhao, Feng Duan, Yi Chen

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

3 Scopus citations

Abstract

For the speckle consisted in SAR image, SR image cannot be segmented efficiently with traditional methods. In this paper, according to the features of SAR image and ANN, the automatic clustering method based on competitive Hopfield NN is used o segment SAR image. With experiment, it is proved that a good result can be gotten with the method proposed in the paper, and at the same time, the speckle in the SAR image is also reduced greatly.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2003
EditorsLicheng Jiao, Xin Yao, Brijesh Verma, Henry Selvaraj
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages149-153
Number of pages5
ISBN (Electronic)0769519571, 9780769519579
DOIs
StatePublished - 2003
Event5th International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2003 - Xian, China
Duration: 27 Sep 200330 Sep 2003

Publication series

NameProceedings - 5th International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2003

Conference

Conference5th International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2003
Country/TerritoryChina
CityXian
Period27/09/0330/09/03

Keywords

  • Artificial neural networks
  • Clouds
  • Clustering methods
  • Computer vision
  • Histograms
  • Image segmentation
  • Neural networks
  • Object recognition
  • Speckle
  • Stochastic resonance

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