Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning

Table 7

Evaluation of accuracy on each class of Salinas dataset with overall accuracy.

Class	VGG-16	Inception-v3	ResNet-50	Proposed
Brocoli_green_weeds_1	98.74	99.56	99.38	99.65
Brocoli_green_weeds_2	97.49	99.89	99.60	99.96
Fallow	98.50	99.93	100	99.92
Fallow_rough_plow	98.87	99.50	99.10	99.44
Fallow_smooth	98.79	98.27	99.74	99.50
Stubble	96.00	96.80	99.28	99.81
Celery	98.94	99.13	99.41	99.90
Grapes_untrained	86.52	91.95	93.82	94.14
Soil_vinyard_develop	99.87	100	100	100
Corn_senesced_green_weeds	94.38	97.58	98.25	97.40
Lettuce_romaine_4 wk	93.82	97.75	99.01	98.57
Lettuce_romaine_5 wk	97.06	99.49	99.72	99.80
Lettuce_romaine_6 wk	98.31	99.24	98.90	99.35
Lettuce_romaine_7 wk	91.95	98.89	99.05	99.26
Vinyard_untrained	65.15	78.36	81.29	82.90
Vinyard_vertical_trellis	97.87	98.21	99.00	99.28
Overall accuracy	90.43	92.89	95.15	96.33