首页    期刊浏览 2025年06月27日 星期五
登录注册

文章基本信息

  • 标题:PSO Based SVM for Optimizing Classification in Remotely Sensed Images
  • 本地全文:下载
  • 作者:Humayun Khan ; Prof. Sandeep kumar ; Prof. J.P.Maurya
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:2074-2076
  • 出版社:TechScience Publications
  • 摘要:This paper includes a prospective approach of developing an efficient algorithm for classification of remotely sensed images. Image classification is the first and foremost step in remote sensing applications. Classification using SVM is a efficient technique which when optimized with the particle swarm intelligence will yield better classification accuracy. The main focus will be on the boundary pixels that are misclassified by standard SVM and other conventional methods.
  • 关键词:Image classification; Remotely sensed;images; SVM; Fuzzy; PSO etc
国家哲学社会科学文献中心版权所有