Table 4 Classification accuracy (in percent) of different on Indian Pines dataset with five training samples per class
From: Multiscale superpixel depth feature extraction for hyperspectral image classification
Class Names | 2D-CNN | MCMs | HybridSN | SSFTT | CEGCN | MSSGU | SBD | SHDA | AMGCFN | MSDFE |
|---|---|---|---|---|---|---|---|---|---|---|
Alfalfa | 94.15(4.78) | 93.04(5.03) | 96.34(3.49) | 99.27(1.56) | 95.56(3.97) | 99.27(1.12) | 97.56(0.00) | 97.56(0.00) | 99.17(1.78) | 100.00(0.00) |
Corn-no till | 31.48(13.53) | 56.37(10.71) | 31.01(9.83) | 44.67(9.76) | 42.91(12.42) | 64.01(10.45) | 64.17(11.05) | 66.62(15.94) | 55.18(9.47) | 92.29(3.37) |
Corn-min till | 43.19(13.87) | 50.36(6.00) | 45.30(15.88) | 56.32(8.38) | 53.20(18.86) | 59.06(17.35) | 67.35(23.57) | 86.12(12.27) | 66.70(14.80) | 98.69(1.15) |
Corn | 72.41(16.45) | 99.32(1.15) | 62.93(15.79) | 88.84(10.24) | 80.31(13.24) | 94.31(6.04) | 94.96(10.93) | 85.00(17.02) | 95.52(3.97) | 99.78(0.40) |
Grass-pasture | 66.55(10.17) | 68.61(1.18) | 63.37(19.62) | 83.22(6.00) | 73.64(6.75) | 75.50(10.85) | 87.87(9.63) | 80.96(10.27) | 75.84(7.75) | 99.83(0.37) |
Grass-trees | 81.97(7.63) | 81.92(2.53) | 85.24(10.91) | 94.68(3.71) | 97.94(0.89) | 91.49(6.13) | 95.41(4.36) | 95.59(5.70) | 86.74(5.64) | 99.66(0.37) |
Grass-pasture-mowed | 99.56(1.30) | 100.00(0.00) | 100.00(0.00) | 99.57(1.30) | 100.00(0.00) | 100.00(0.00) | 96.09(1.37) | 96.96(2.10) | 100.00(0.00) | 100.00(0.00) |
Hay-windrowed | 87.82(14.23) | 100.00(0.00) | 97.91(3.47) | 92.22(11.30) | 93.78(6.84) | 93.91(7.96) | 95.64(13.10) | 96.96(8.96) | 98.57(1.94) | 99.98(0.06) |
Oats | 100.00(0.00) | 100.00(0.00) | 100.00(0.00) | 100.00(0.00) | 100.00(0.00) | 100.00(0.00) | 100.00(0.00) | 100.00(0.00) | 100.00(0.00) | 100.00(0.00) |
Soybean-no till | 51.96(12.64) | 71.11(5.04) | 58.28(10.68) | 70.53(11.91) | 70.21(7.50) | 73.86(8.26) | 77.05(14.68) | 72.81(15.70) | 72.05(8.51) | 98.35(0.95) |
Soybean-min till | 60.06(9.30) | 75.33(2.00) | 37.82(13.09) | 49.93(11.99) | 67.66(20.00) | 74.35(17.43) | 58.51(12.36) | 79.02(10.65) | 70.51(9.69) | 98.92(0.57) |
Soybean-clean | 35.39(9.06) | 56.49(7.77) | 37.26(8.75) | 53.13(10.85) | 50.74(10.80) | 70.00(12.16) | 79.30(11.84) | 82.67(10.60) | 63.79(10.78) | 95.88(1.60) |
Wheat | 99.75(0.51) | 99.71(0.24) | 96.80(4.88) | 99.50(1.34) | 99.69(0.47) | 99.45(1.19) | 99.50(0.00) | 99.50(0.00) | 97.28(3.33) | 100.00(0.00) |
Woods | 80.70(9.12) | 88.65(1.29) | 67.69(17.38) | 85.95(7.55) | 92.02(8.52) | 98.28(2.18) | 91.92(8.07) | 89.51(10.27) | 85.81(19.94) | 100.00(0.00) |
Buildings-Grass-Trees-Drives | 61.63(16.77) | 88.86(3.48) | 64.09(14.36) | 83.18(13.73) | 62.47(13.36) | 88.27(9.71) | 78.35(13.12) | 84.09(11.35) | 91.01(10.60) | 100.00(0.00) |
Stone-Steel-Towers | 100.00(0.00) | 100.00(0.00) | 94.89(6.51) | 100.00(0.00) | 98.55(2.52) | 98.75(2.00) | 96.59(6.15) | 100.00(0.00) | 96.87(3.70) | 100.00(0.00) |
OA | 59.96(3.10) | 74.10(1.40) | 54.14(4.64) | 66.97(3.78) | 70.11(3.87) | 78.39(4.54) | 75.88(3.93) | 81.95(4.75) | 74.66(3.63) | 98.12(0.51) |
AA | 72.91(1.89) | 83.11(0.62) | 71.18(1.93) | 81.31(2.03) | 79.92(1.86) | 86.28(1.80) | 86.27(1.69) | 88.34(3.38) | 84.68(1.71) | 98.96(0.30) |
\(\kappa\) | 54.94(3.24) | 70.79(1.56) | 49.54(4.44) | 63.18(4.81) | 66.00(4.08) | 75.47(4.87) | 72.94(4.28) | 79.58(5.33) | 71.48(3.98) | 97.86(0.58) |
