Research on Change Detection in Remote Sensing Images by using 2D-Fisher Criterion Function Method

نویسندگان

  • Baoming Zhang
  • Ke Chen
  • Yang
  • Mingxia Xie
  • Hongwei Zhang
چکیده

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.

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تاریخ انتشار 2010