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/%64.8775.9278.4482.1183.19
AA/%67.4275.4976.4979.7580.36
Kappa/%56.5469.2872.3876.8978.24
PCAOA/%69.1176.3877.4879.1981.29
AA/%77.4781.8283.5484.8686.32
Kappa/%61.4069.8471.3873.5076.04
IFRFOA/%74.5386.4889.8792.8393.92
AA/%69.8981.8985.9089.0590.74
Kappa/%67.8582.5086.7590.5791.97
HiFiOA/%78.4885.4187.5288.8789.92
AA/%82.2188.2990.2991.7591.90
Kappa/%72.5081.1883.8185.5586.68
CCJSROA/%61.0564.6570.1675.9176.23
AA/%63.1763.9368.4971.6072.82
Kappa/%50.8255.5961.3568.6369.04
R-VCANetOA/%80.7286.9790.6792.0793.53
AA/%87.4690.9793.6194.3595.36
Kappa/%75.5283.1787.8389.6291.58
SSRNOA/%92.3594.4396.4996.6098.09
AA/%92.2594.0496.3196.6798.01
Kappa/%89.9092.6095.3295.4897.47
MSLRROA/%90.7794.6895.5096.2496.78
AA/%92.7695.4496.2296.9197.34
Kappa/%87.9192.9894.0695.0395.75
MSLRR_TWRFOA/%94.9897.4397.9498.1498.31
AA/%96.2897.9998.4098.6798.84
Kappa/%93.4296.6097.2897.5497.76
Table 6 Classification accuracy of different training samples for PaviaU
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