Accuracy Analysis of Hyperspectral Imagery Classification Using Level Sets

  title={Accuracy Analysis of Hyperspectral Imagery Classification Using Level Sets},
  author={John E. Ball and Lori M. Bruce},
Image classification is an important task in the remote sensing field. In a previous study, the authors presented a semi-automated supervised level set-based hyperspectral image segmentation algorithm (LSHSA) (Ball and Bruce, 2005). The LSHSA method used specialized speed functions created using pixel similarity and class discriminator functions. The pixel similarity function was based on an exponential term using three of the data bands with equal contributions from each band. The class… CONTINUE READING
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