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  • 标题:Image Classification in Remote Sensing
  • 本地全文:下载
  • 作者:Jwan Al-doski ; Shattri B. Mansor ; Helmi Zulhaidi Mohd Shafri
  • 期刊名称:Journal of Environment and Earth Science
  • 印刷版ISSN:2225-0948
  • 电子版ISSN:2225-0948
  • 出版年度:2013
  • 卷号:3
  • 期号:10
  • 页码:141-147
  • 语种:English
  • 出版社:The International Institute for Science, Technology and Education (IISTE)
  • 摘要:One of the most important functions of remote sensing data is the production of Land Use and Land Cover maps and thus can be managed through a process called image classification. This paper looks into the following components related to the image classification process and procedures and image classification techniques and explains two common techniques K-means Classifier and Support Vector Machine (SVM).
  • 关键词:Remote Sensing; Image Classification; K-means Classifier; Support Vector Machine
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