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

99.56Per-Class Accuracy 1SCT-Net
91.832893.838995.84597.8511Apr 26, 2026

Evaluation results

MethodLinks
SCT-NetTraining sample ratio=1%2026.0499.5698.2298.6798.8799.8391.6995.1197.6296.7599.1698.7497.0989.4198.0779.7399.9698.3796.1598.09
HybridSNTraining sample ratio=1%2026.0499.2696.3697.1699.6794.7170.5593.3593.3290.797.9496.5385.8581.2594.3141.3399.8395.9689.4595.27
MASSFormerTraining sample ratio=1%2026.0499.0196.597.3895.1990.6683.9192.0991.8493.0198.6998.4493.5180.6596.0382.8799.7996.6293.196.05
SSFTTTraining sample ratio=1%2026.0498.4994.0693.5798.8489.5273.0892.6394.1795.4298.1497.8587.4179.7795.380.1399.4895.9791.7495.29
SVMTraining sample ratio=1%2026.0495.9586.6868.1287.0453.1134.6391.5869.8370.5590.478342.9467.8189.5266.0498.3186.9774.7284.71
2D-CNNTraining sample ratio=1%2026.0495.5377.5447.4494.9272.0515.5179.9690.475.1192.9379.8558.0754.1289.423.1299.9686.3271.1883.88
3D-CNNTraining sample ratio=1%2026.0495.1987.8484.4891.2152.0124.8584.3977.1773.390.4293.9830.4362.4185.9379.3199.3688.4175.7786.4
SpectralFormerTraining sample ratio=1%2026.0494.483.1794.5195.6667.9842.6479.4180.7271.2895.1893.4746.8470.8786.2764.2599.2989.4379.1287.62
SS-MambaTraining sample ratio=1%2026.0492.1386.591.8599.0999.7285.5996.3782.1788.1297.2193.5698.738287.4292.3996.5191.9291.8490.61