Research Article

Dual-Band Maritime Imagery Ship Classification Based on Multilayer Convolutional Feature Fusion

Table 3

The classification accuracy (%) of two combinations on two and three layers of the VGG-f model.

2layersCombination 2Combination 3
VISIRCONSUMVISIRCONSUM

F6
C2F6
C3F6
C4F6
C5F6
C2C5F6
C3C5F6
C4C5F6

Accuracy evaluation using the average accuracy together with standard deviation in 50 times. CON and SUM represent concatenation and summation feature fusion methods, respectively. Abbreviated symbol C2F6 represents that C2 layer and F6 layer features for each band image are concatenated, the same as to others. Bold denotes that the average accuracy is the best one in the corresponding column of the table.