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  • 标题:Research on Change Detection in Remote Sensing Images by using 2D-Fisher Criterion Function Method
  • 本地全文:下载
  • 作者:Baoming Zhang ; Ke Chen ; Yang Zhou
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII - Part 7B
  • 页码:697-702
  • 出版社:Copernicus Publications
  • 摘要:In this paper, 2D-Fisher criterion function was introduced to change detection in remote sensing images based on classic one dimension fisher criterion function, and this expanded the space of grey value from one-dimension to two-dimension and greatly improved the image noise-sensitivity. Meanwhile, in order to enhance the computing speed, we refined the solution method of 2D threshold in 2D-Fisher criterion function through transforming computing method from two-dimension threshold to two one-dimension thresholds and greatly reduced the detection time. Refined 2D-Fisher criterion function method was suitable not only for the change detection in remote sensing images, but also for other aspects in data processing
  • 关键词:change detection; Fisher criterion function; Image Threshold; two-dimension histogram; remote sensing image
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