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文章基本信息

  • 标题:Edge enhancement for remote sensing image using norm algorithm in L2 vector space
  • 本地全文:下载
  • 作者:Xue Chen ; Jianwen Ma
  • 期刊名称:Geo-spatial Information Science
  • 印刷版ISSN:1009-5020
  • 电子版ISSN:1993-5153
  • 出版年度:2007
  • 卷号:10
  • 期号:2
  • 页码:121-123
  • DOI:10.1007/s11806-007-0031-2
  • 出版社:Taylor and Francis Ltd
  • 摘要:The Householder transformation-norm structure function in L2 vector space of linear algebra is introduced, and the edge enhancement for remote sensing images is realized. The experiment result is compared with traditional Laplacian and Sobel edge enhancements and it shows that the effect of the new method is better than that of the traditional algorithms.
  • 关键词:image edge enhancement; Householder-norm transformation; L2 vector space
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