Hyperspectral Image Classification on QUH-Tangdaowan (TD) benchmark leaderboard · SOTA2 Research

Hyperspectral Image Classification on QUH-Tangdaowan (TD)

98.84Overall Accuracy (OA)CS

Evaluation Results

Method	Links
CS2026.04		98.84	98.68	97.23
C-Add2026.04		98.74	98.56	96.27
Add2026.04		98.69	98.51	96.51
C-CS2026.04		98.6	98.41	97.42
C-CS22026.04		98.58	98.38	95.51
SA2026.04		98.52	98.32	93.82
MSA-CS22026.04		98.52	98.31	95.8
SDP2026.04		98.51	98.3	95.88
C-SDP2026.04		98.43	98.21	95.41
DP2026.04		98.41	98.19	93.9
CS22026.04		98.39	98.17	94.92
MSST2026.04		97.42	97.06	92.71
GM2026.04		97.01	96.6	95.04
S2CIFT2026.04		96.44	95.95	91.14
WF2026.04		96.36	95.86	91.31
S2CAT2026.04		95.79	95.21	92.75
SS-MixNet2025.11		95.68	—	—
KDM2026.04		95.3	94.64	85.61
DBMLLA2026.04		95.15	94.47	84.25
PM2026.04		94.03	93.18	69.95
DF2026.04		93.77	92.91	85.73
WDM2026.04		93.26	92.31	79.29
SSAM2026.04		93.16	92.18	82.93
MM2026.04		91.25	90	78.04