Hyperspectral Image Classification on HongHu 10% train samples (test) benchmark leaderboard · SOTA2 Research

Hyperspectral Image Classification on HongHu 10% train samples (test)

99.64Overall Accuracy (OA)VP-Hype

Updated 5mo ago

Evaluation Results

Method	Links
VP-Hype2026.03		99.64	99.23	99.55	99.84	99.71	99.59	100	99.62	99.84	99.5	99.23	99.82	99.48	99.55	98.46	99.56	99.24	100	99.98	99.93	96.86	99.63	99.68	96.65	99.97
VP-Hype2026.03		99.64	99.23	99.55	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
DBCT2026.03		99.14	98.07	98.91	98.27	97.44	99.01	99.69	98.32	99.47	98.81	98.38	99.71	98.53	98.77	98.42	98.48	99.02	98.18	98.59	99.47	95.16	90.11	99	90.77	96.76
DBCT2026.03		99.14	98.07	98.91	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
LSGA2026.03		99.02	97.54	98.75	99.54	96.82	98.23	99.65	99.14	99.34	98.01	96.59	99.82	99.94	97.75	96.98	97.63	98.9	97.96	99.16	99.32	96.56	99.51	97.48	91.62	98.08
LSGA2026.03		99.02	97.54	98.75	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
MASSFormer2026.03		98.14	96.25	97.65	98.99	97.25	98.87	99.31	94.76	99.11	97.15	94.16	99.77	98.03	95.53	98.15	94.73	98.48	98.51	97.03	98.86	95.9	95.61	93.85	87.52	88.02
MASSFormer2026.03		98.14	96.25	97.65	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
HybridSN2026.03		96.76	92.5	96.77	98.46	75.45	95.61	99.4	88.93	98.41	95.77	93.72	97.91	93.73	91.88	92.17	94.22	92.83	87.59	97.3	92.21	89.72	91.73	89.22	83.35	95.38
ViT2026.03		96.76	92.5	96.77	97.84	87.22	94.98	98.48	84.61	98.6	92.5	87.5	97.91	92.9	88.1	91.23	91.7	91.74	94.02	97.69	95.59	93.51	91.34	86.62	84.24	88.9
HybridSN2026.03		96.76	92.5	96.77	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
ViT2026.03		96.76	92.5	96.77	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
HSIMAE2026.03		96.24	92.99	96.18	97.4	88.87	95.84	98.13	78.73	98.81	94.1	87.53	98.14	94.97	91.95	92.8	92.68	95.31	94.56	98.14	96.94	90.37	95.63	88.67	85.15	91.16
HSIMAE2026.03		96.24	92.99	96.18	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—