Solution to Joint Entropy and Its Applications in Remote Sensing

نویسندگان

  • Xiaokun Zhu
  • Yonghong Jia
چکیده

Based on Shannon’s theory, joint entropy is a statistical mean of information content and could be employed to evaluate image information. However, the computation complexity of joint entropy affects its applications in remote sensing. In this paper, a method with an index data structure to solve this problem is introduced, and in comparison with other methods, joint entropy calculated by the new solution reaches on consistent, or even better results in application to optimum band selection and quality assessment of image fusion.

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تاریخ انتشار 2004