Calligraphy and painting identification 3d-cnn model based on hyperspectral image mnf dimensionality reduction

HIGHLIGHTS

SUMMARY

    Next, the previous data are used for training with the 2DCNN calligraphy and painting identifcation model under MNF pseudocolor image mosaic as input, 2D-CNN calligraphy and painting identifcation model under multichannel MNF dimensionality reduced image directly as input, and 3D-CNN calligraphy and painting identifcation model based on multichannel MNF dimensionality reduced images, and the target outputs are the classifcation of two authors. It can be seen that the 2D-CNN calligraphy and painting identifcation model under MNF pseudocolor image mosaic as input, the 2D-CNN calligraphy and painting identifcation model under multichannel . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?