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Citation: Qian Huaming, Jiang Bo. Method base on multi-channel satellite cloud image for typhoon segmentation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(4): 466-471. (in Chinese)

Method base on multi-channel satellite cloud image for typhoon segmentation

  • Received Date: 28 May 2010
  • Publish Date: 30 Apr 2011
  • A modified level set method for typhoon segmentation base on vector image was proposed to improve the accuracy of typhoon prediction. The C-V model was extended to the vector space and an energy term without re-initialization was introduced. An iteration convergence condition was proposed,and the parameters of the model and the method of segmentation were designed for the features of cloud image. Through the use of cloud image information and avoiding the unnecessary iterative calculation, this method can accelerate the speed of curve evolution and improve the accuracy of segmentation. The experimental results verify the validity and feasibility of the proposed method. The expected typhoon segmentation effect is achieved with the average false target rate of 1.21% and the average false non-target rate of 2.25%.

     

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