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Hyperspectral Image Classification on CASI University of Houston (test)

86.61Overall AccuracyFreeNet
76.490879.117981.74584.3721Nov 11, 2020Sep 24, 2021Aug 8, 2022Jun 22, 2023May 4, 2024Mar 18, 2025Jan 30, 2026

Evaluation results

MethodLinks
FreeNetInput Patch Strategy=Patch-free2020.1186.6180.9184.2198.0291.9510096.588.5374.8387.7262.2583.498.8488.4296.7694.2988.440.8555
DFFNInput Patch Strategy=Patch-based2020.1184.5677.4181.3994.5987.8296.0596.1580.2577.7884.6664.6388.6198.5783.0999.7281.986.180.8328
Gabor-CNNInput Patch Strategy=Patch-based2020.1184.3282.384.2495.6192.3999.896.4784.5873.0978.1458.0173.3586.7491.1610077.7384.170.8114
S-CNNInput Patch Strategy=Patch-based2020.1182.348383.2798.6693.596.9194.1279.9568.1976.3948.174.6485.4988.5899.1996.484.430.8052
CMTLlabeled samples per class=52026.0181.38———————————————83.180.7988
3D-GANInput Patch Strategy=Patch-based2020.1178.1681.5879.7497.4293.3699.7195.0889.970.5254.8949.8977.3660.4681.7195.1465.3579.980.7616
GMTNlabeled samples per class=52026.0177.2———————————————80.110.7538
SVMInput Patch Strategy=Patch-based2020.1176.8882.0580.5510092.5298.1195.17540.1774.8851.6478.3768.469.4710098.180.290.7513