Figure/Table detail

Fusion of Multiscale Low-rank Representation and Two Way Recursive Filtering for Hyperspectral Image Classification
Mei LU, Jiatian LI, Wen LI, Mihong HU, Jiaxin YANG
Remote Sensing Technology and Application, 2024, 39(2): 393-404.   DOI: 10.11873/j.issn.1004-0323.2024.2.0393

方法指标训练样本数
1020304050
SVMOA/%59.4468.6073.2575.9778.56
AA/%57.1364.5270.3373.2575.85
Kappa/%54.4764.5669.7172.7575.60
PCAOA/%54.6062.3767.6770.2572.27
AA/%53.1159.8965.1768.0771.23
Kappa/%49.2757.7363.5166.3368.53
IFRFOA/%79.1489.8593.4095.3396.21
AA/%76.0185.7092.3593.8295.59
Kappa/%76.5188.4792.4794.6595.66
HiFiOA/%81.9788.9091.5693.0294.36
AA/%89.7794.0195.4396.3496.90
Kappa/%79.6987.4190.3892.0293.54
CCJSROA/%74.9381.5786.0388.1789.45
AA/%71.2275.5378.7379.3480.67
Kappa/%71.7679.0984.1586.2387.95
R-VCANetOA/%75.4983.2386.7289.1691.05
AA/%86.3891.3394.0195.0895.92
Kappa/%72.4480.9984.9587.6790.12
SSRNOA/%80.6389.8794.9295.3497.37
AA/%87.4284.5590.1885.1991.57
Kappav77.9788.4594.1994.7097.41
MSLRROA/%87.0492.7594.4294.7195.08
AA/%91.5194.9896.2296.5896.63
Kappa/%85.2091.7093.6093.9394.35
MSLRR_TWRFOA/%89.0594.9596.8297.6698.00
AA/%92.9696.7197.9398.4098.59
Kappa/%87.4894.2196.3697.3297.70
Table 5 Classification accuracy of different training samples for Indian Pines
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