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Volume 39 Issue 6
Jun.  2013
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Journal of Beijing University of Aeronautics and Astronautics  > 2013  >  (6): 847-852.
YANG J，ZHANG C. Semantic segmentation of point clouds by fusing dual attention mechanism and dynamic graph convolution[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（10）：2984-2994 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0775
Citation: Yuan Xiaodong, Li Chao, Sheng Haoet al. Wavelet multi resolutionweight correlationimage fusion method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, (6): 847-852. (in Chinese)
shu

Wavelet multi resolutionweight correlationimage fusion method

  • 1.

    School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 2. Shenzhen Research Institute, Beijing University of Aeronautics and Astronautics, Shenzhen 518057, China

  • Received Date: 12 Jun 2012
  • Publish Date: 30 Jun 2013
    Abstract
  • An image fusion method which based on wavelet multi resolution of weight correlation was introduced for the fusion of multispectral image and panchromatic image. On basis of wavelet decomposition for original image, the method fused the high and low weights image with different fusing rules, and the final fused image was obtained by taking inverse wavelet transform. The low frequencies were fused by weighted calculating with the coefficient of local correlation, and a certain constraints for the high frequencies were defined, so that part of the strong correlation between strengthened, and the weak part preserved. In the end, the experiment indicates its advantage to preserve spectra information and improve spatial resolution by comparing the correlative coefficient and the spectral distortion with several typical image fusion methods. The effect of fusion for different threshold value of T was also analyzed by experiment, so that appropriate value can be set to adapt different scene.

     

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    • References(12)
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