Identification and Classification of Atmospheric Particles Based on SEM Images Using Convolutional Neural Network with Attention Mechanism

Table 3

The four evaluation indexes of Attention-CNN, CNN, and SVM.

Classification type	Models	Precision (%)	Recall (%)	Specificity (%)	F1-score (%)
Fibrous	Attention-CNN	98.33	96.71	99.32	97.51
	CNN	97.66	94.81	99.05	96.21
	SVM	92.31	92.93	96.91	92.62
Flocculent	Attention-CNN	96.67	98.31	98.66	97.48
	CNN	88.00	97.78	95.33	92.63
	SVM	86.67	86.09	94.59	86.38
Spherical	Attention-CNN	94.17	89.74	98.39	91.90
	CNN	87.00	92.82	96.51	89.81
	SVM	86.10	91.87	96.27	88.89
Mineral	Attention-CNN	84.02	88.46	95.80	86.18
	CNN	89.50	79.35	97.10	84.12
	SVM	72.15	67.81	92.45	69.91

Bold values indicate the best results of the four indexes in the three models.