Hyperspectral Image Classification on WHU-Hi-HanChuan (1% train) benchmark leaderboard · SOTA2 Research

Hyperspectral Image Classification on WHU-Hi-HanChuan (1% train)

99.56Per-Class Accuracy 1SCT-Net

Evaluation Results

Method	Links
SCT-Net2026.04		99.56	98.22	98.67	98.87	99.83	91.69	95.11	97.62	96.75	99.16	98.74	97.09	89.41	98.07	79.73	99.96	98.37	96.15	98.09
HybridSN2026.04		99.26	96.36	97.16	99.67	94.71	70.55	93.35	93.32	90.7	97.94	96.53	85.85	81.25	94.31	41.33	99.83	95.96	89.45	95.27
MASSFormer2026.04		99.01	96.5	97.38	95.19	90.66	83.91	92.09	91.84	93.01	98.69	98.44	93.51	80.65	96.03	82.87	99.79	96.62	93.1	96.05
SSFTT2026.04		98.49	94.06	93.57	98.84	89.52	73.08	92.63	94.17	95.42	98.14	97.85	87.41	79.77	95.3	80.13	99.48	95.97	91.74	95.29
SVM2026.04		95.95	86.68	68.12	87.04	53.11	34.63	91.58	69.83	70.55	90.47	83	42.94	67.81	89.52	66.04	98.31	86.97	74.72	84.71
2D-CNN2026.04		95.53	77.54	47.44	94.92	72.05	15.51	79.96	90.4	75.11	92.93	79.85	58.07	54.12	89.4	23.12	99.96	86.32	71.18	83.88
3D-CNN2026.04		95.19	87.84	84.48	91.21	52.01	24.85	84.39	77.17	73.3	90.42	93.98	30.43	62.41	85.93	79.31	99.36	88.41	75.77	86.4
SpectralFormer2026.04		94.4	83.17	94.51	95.66	67.98	42.64	79.41	80.72	71.28	95.18	93.47	46.84	70.87	86.27	64.25	99.29	89.43	79.12	87.62
SS-Mamba2026.04		92.13	86.5	91.85	99.09	99.72	85.59	96.37	82.17	88.12	97.21	93.56	98.73	82	87.42	92.39	96.51	91.92	91.84	90.61