Table 3.

Classification performance of models using fused spectral-texture features

Models	Traning set			Test set
	Accuracy(%)	Precision(%)	Recall(%)	Accuracy(%)	Precision(%)	Recall(%)
SVM	85.85	84.16	84.28	86.74	87.36	87.29
MLP	84.42	91.09	89.29	86.74	89.51	86.74
AlexNet	88.87	90.78	89.57	87.29	88.86	87.29
EfficientNet	97.64	99.03	99.03	90.61	90.75	90.61
Vgg16	90.96	92.37	90.40	88.40	90.80	88.40
ResNet34	94.44	97.61	97.50	92.27	92.80	92.27