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Hyperspectral Image Classification on Pavia University

100Overall Accuracy (OA)

STNet

Updated 4d ago

Evaluation Results

Method
STNet 2025.06	100	100	100	100	100	100	100	100	100	100	100	100	-	-	-	-	-	-	-	-	-	-	-
WCNet 2025.04	100	100	100	100	100	100	100	100	100	100	100	100	-	-	-	-	-	-	-	-	-	-	-
DSXFormer 2026.02	99.85	-	-	-	-	-	-	-	-	-	99.7	99.8	-	100	99.99	99.73	98.32	100	100	99.89	100	99.4	-
3D-CNN 2025.06	99.79	99.96	99.99	99.64	99.83	99.81	99.98	97.97	99.56	100	99.75	99.87	-	-	-	-	-	-	-	-	-	-	-
3D-SE-DenseNet 2025.06	99.48	99.32	99.87	96.76	99.23	99.64	99.8	99.47	99.32	100	99.16	99.31	-	-	-	-	-	-	-	-	-	-	-
SwinT 2026.02	99.41	-	-	-	-	-	-	-	-	-	98.45	99.22	-	99.36	99.81	98.85	98.8	97.21	99.94	98.83	98.73	98.85	-
PyFormer 2026.02	99.06	-	-	-	-	-	-	-	-	-	98.57	98.75	-	99.26	100	98.03	97.43	100	99.76	100	94.39	98.31	-
PMCN 2026.02	99.04	-	-	-	-	-	-	-	-	-	98.57	98.73	-	99.4	100	96.32	97.78	100	99.79	100	94.31	99.58	-
WaveFormer 2026.02	98.9	-	-	-	-	-	-	-	-	-	98.33	98.54	-	99.03	100	96.95	97.61	100	99.71	100	93.52	98.17	-
FADCNN 2026.02	98.87	-	-	-	-	-	-	-	-	-	98.05	95.25	-	99.7	99.75	94.31	99.1	99.82	99.92	96.97	97.9	98.97	-
St-SS-pGRU 2018.10	98.44	-	-	-	-	-	-	-	-	-	-	-	128.91	-	-	-	-	-	-	-	-	-	-
St-SS-GRU 2018.10	96.8	-	-	-	-	-	-	-	-	-	-	-	104.56	-	-	-	-	-	-	-	-	-	-
VIT 2026.02	93.31	-	-	-	-	-	-	-	-	-	85.96	91.1	-	87.64	98.7	86.5	80.73	85.87	99.06	93.28	84.89	88.31	-
SSRN 2025.06	92.99	89.93	86.48	99.95	95.78	97.69	95.44	84.4	100	87.24	87.21	90.58	-	-	-	-	-	-	-	-	-	-	-
St-GRU 2018.10	92.25	-	-	-	-	-	-	-	-	-	-	-	7.31	-	-	-	-	-	-	-	-	-	-
Hit 2025.06	92	96.19	92.79	93.21	97.33	99.96	99.91	98.22	99.15	99.77	93.24	89.77	-	-	-	-	-	-	-	-	-	-	-
Spectralformer 2025.06	91.07	82.73	94.03	73.66	93.75	99.28	90.75	87.56	95.81	94.21	90.2	88.05	-	-	-	-	-	-	-	-	-	-	-
Spectralformer 2025.04	91.07	82.73	94.03	73.66	93.75	99.28	90.75	87.56	95.81	94.21	90.2	88.05	-	-	-	-	-	-	-	-	-	-	-
NL-GCNN 2026.02	90.04	-	-	-	-	-	-	-	-	-	90.87	87.06	-	86.8	88.74	70.84	98.43	99.85	94.37	86.24	96.74	95.78	-
GCNN 2026.02	87.08	-	-	-	-	-	-	-	-	-	86.71	83.07	-	78.89	90.5	71.7	98.76	99.93	79.08	71.2	92.83	97.47	-
2D CNN 2026.02	86.93	-	-	-	-	-	-	-	-	-	85.38	82.42	-	83.85	96.09	81.47	96.12	98.74	49.79	79.32	88.89	94.19	-
GRU 2018.10	86.92	-	-	-	-	-	-	-	-	-	-	-	232.15	-	-	-	-	-	-	-	-	-	-
LSTM 2018.10	84.68	-	-	-	-	-	-	-	-	-	-	-	434.22	-	-	-	-	-	-	-	-	-	-
CCF-200 2026.02	83.36	-	-	-	-	-	-	-	-	-	90.26	79.05	-	86.59	72.33	71.75	99.09	99.78	97.26	91.88	94.92	98.73	-
SVM-RBF 2026.02	78.89	-	-	-	-	-	-	-	-	-	87.95	74.91	-	82.37	67.87	69.18	98.37	99.41	93.64	91.2	92.59	96.94	-
SSRN 2025.04	-	89.93	86.48	99.95	95.78	97.69	95.44	84.4	100	87.24	-	-	-	-	-	-	-	-	-	-	-	-	-
3D-CNN 2025.04	-	99.96	99.99	99.64	99.83	99.81	99.98	97.97	99.56	100	-	-	-	-	-	-	-	-	-	-	-	-	-
3D-SE-DenseNet 2025.04	-	99.32	99.87	96.76	99.23	99.64	99.8	99.47	99.32	100	-	-	-	-	-	-	-	-	-	-	-	-	-
LGCNet 2025.04	-	100	100	99.88	100	100	100	100	100	100	-	-	-	-	-	-	-	-	-	-	-	-	-
KNN 2026.01	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	1.62
k-means 2026.01	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	2.23
SVM 2026.01	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	0.63
RF 2026.01	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	50.04
FCM 2026.01	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	2,348.66
Ours-G 2026.01	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	133.52
Ours-O 2026.01	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	485.31