Editorial: recent advances in artificial neural networks and embedded systems for multi-source image fusion

HIGHLIGHTS

  • who: Xin Jin from the Korea University, South KoreaUniversity, Geelong, VIC, Australia have published the research: Editorial: Recent advances in artificial neural networks and embedded systems for multi-source image fusion, in the Journal: (JOURNAL)
  • how: The experimental results showed that the proposed model is effective. In this work source images were first separated into a third-order tensor so that the tensor can be decomposed into a matrix product form by singular value decomposition and then the Sigmoid function can be employed to fuse the key components.

SUMMARY

    At present . . .

     

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