Research Article

Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks

Table 4

Confusion matrix (in percent) of the NN method.

ā€‰WaterGolfPastureCons.LDCrop1Crop2ForestHDInd.

Water78.47 2.050.000.350.000.000.000.000.000.00
Golf19.5689.22 19.216.710.243.051.120.400.020.17
Pasture0.001.9360.95 0.770.132.681.180.130.010.01
Cons.1.643.280.6863.83 0.000.049.880.000.040.01
LD0.000.140.010.0057.71 5.250.022.345.612.07
Crop10.000.302.370.381.7479.91 0.640.140.330.53
Crop20.152.4514.4826.700.713.1386.15 0.940.190.02
Forest0.000.471.960.182.060.640.9889.08 0.160.09
HD0.000.060.330.3731.995.130.036.2171.95 28.95
Ind.0.170.100.030.715.410.180.000.7721.6968.17