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

99.64Overall Accuracy (OA)

VP-Hype

Updated 1mo ago

Evaluation Results

Method	Links
VP-Hype 2026.03		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-Hype 2026.03		99.64	99.23	99.55	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
DBCT 2026.03		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
DBCT 2026.03		99.14	98.07	98.91	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
LSGA 2026.03		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
LSGA 2026.03		99.02	97.54	98.75	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
MASSFormer 2026.03		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
MASSFormer 2026.03		98.14	96.25	97.65	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
HybridSN 2026.03		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
ViT 2026.03		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
HybridSN 2026.03		96.76	92.5	96.77	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
ViT 2026.03		96.76	92.5	96.77	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
HSIMAE 2026.03		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
HSIMAE 2026.03		96.24	92.99	96.18	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-