Recognition Method of Tunnel Lining Defects Based on Deep Learning

Figure 4

Example of convolution operation: in this example, “” is used to indicate convolution operation. The input data size is , the size of the convolution kernel is , and the output result is obtained by convolution by the input data kernel convolution kernel.