Research Article
Calligraphy and Painting Identification 3D-CNN Model Based on Hyperspectral Image MNF Dimensionality Reduction
Table 1
Results of calligraphy and painting author identification of different CNN models with different kinds of input.
| ā | Training set | Network model | 3D-CNN based on multichannel dimensionality reduced images | 2D-CNN based on MNF pseudocolor image mosaic as input | 2D-CNN based on multichannel dimensionality reduced images directly as input | Accuracy | 1.000 | 1.000 | 1.000 |
| ā | Test set | Network model | 3D-CNN based on multichannel dimensionality reduced images | 2D-CNN based on MNF pseudocolor image mosaic as input | 2D-CNN based on multichannel dimensionality reduced images directly as input | Accuracy | 0.932 | 0.926 | 0.937 |
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