Research Article

Sparse Representation Classification Based on Flexible Patches Sampling of Superpixels for Hyperspectral Images

Table 4

The classification accuracy (average on ten runs with 1% random samples) for Salinas images on six test approaches.

classPSRCJSRMMJSRMASRBTC-WSLSRC-FPSS

C1 98.11 100.00 100.00 100.00100.00 100.00
C2 98.47 99.83 99.89 99.97100.00 100.00
C3 96.32 98.72 99.95 99.89100.00 98.77
C4 98.34 98.64 99.32 93.6699.9295.92
C5 96.97 99.25 99.10 94.0699.9299.29
C6 99.73 100.00100.00 97.98100.00 99.92
C7 99.32 99.94 99.88 97.97100.00100.00
C8 75.82 88.0795.0799.43100.00 99.69
C9 98.73 99.97 99.78100.00 100.00 100.00
C1092.2397.9898.4698.14100.0099.71
C1198.4299.51100.0099.11100.00 99.70
C1299.4099.9599.9595.90100.0099.89
C1396.9099.2099.8992.9999.15 99.31
C1495.8798.8299.5195.9699.48 99.51
C1564.5379.9891.9399.1588.75 98.70
C1698.6699.3699.7199.36100.00 98.78

OA88.7994.5097.6798.4698.5399.48
AA94.24974598.9099.2097.7299.32
Kappa85.4293.8797.4098.2898.3699.42