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ResearchFormerly WizWand

Hyperspectral Image Classification on Xuzhou

99.16Class 1 AccuracyMixerCA

Evaluation results

Method	Links
MixerCA2026.04		99.16	99.18	98.96	98.14	98.56	99.67	99.64	99.87	95.34	99.2	98.77	99.14	—	—
3D-CNN2026.04		98.14	99.03	88.14	95.86	95.81	97.37	94.55	97.91	93.97	95.73	95.65	95.25	7.88	3.4
HybridnSN2026.04		98.01	99.08	96.51	97.53	99.07	95.32	98.21	100	93.78	97.38	97.49	97.08	5.32	8.57
PMI-CNN2026.04		97.73	99.6	98.02	97.62	95.76	97.37	98.96	99	96.19	95.53	97.58	95.01	8.56	1.25
ViT2026.04		97.53	98.51	98.92	91.41	98.38	90.76	90.77	99.12	96.64	94.6	95.66	94	11.49	2.77
Tri-CNN2026.04		97	98.78	97.31	91.41	99.68	85.34	98.78	97.8	94.46	94.78	95.53	94.18	11.12	3.92
Swin T.2026.04		96.72	98.76	95.65	94.99	98.17	96.39	98.51	99.39	95.24	95.23	97.09	94.69	10.59	4.72
MLP2026.04		94.72	97.29	86.92	85.86	93.7	70.94	84.59	90.94	93.62	90.43	88.9	89.34	18.02	6.1
SVM2026.04		93.93	97.77	77.87	86.98	93.45	64.78	77.35	95.81	97.33	88.57	87.38	87.27	23.99	8.66
2D-CNN2026.04		89.42	97.99	91.88	95.28	99.36	92.73	96.22	89.28	95.67	92.64	94.05	91.8	12.63	4.62