Xiaohua Qiu, Min Li, Liqiong Zhang, Lin Dong. Dual-Band Scene Classification Based on Convolutional Features and Bayesian Decision[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0415006
- Laser & Optoelectronics Progress
- Vol. 58, Issue 4, 0415006 (2021)
Fig. 1. Framework diagram of our method
Fig. 2. Example image of the RGB-NIR dataset
Fig. 3. Classification accuracies of the two features. (a) RGB image; (b) NIR image; (c) RGB-NIR image
Fig. 4. Influence of the different threshold value on model classification accuracy. (a) C5 layer; (b) F6 layer; (c) F7 layer
Fig. 5. Classification accuracies of different CNN models. (a) VGG-16 model; (b) VGG-19 model; (c) ResNet-50 model
Fig. 6. Classification accuracy confusion matrix of our method. (a) Best classification accuracy in the 20 groups (98.0%); (b) worst classification accuracy in the 20 groups (88.9%)
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Table 1. Layers and feature dimension of the VGGNet and ResNet
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Table 2. Dimensions of different features of the VGG-16 model
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Table 3. Classification accuracies of different CNN models at different t unit: %
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Table 4. Classification accuracy comparison of different methods
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