A remote sensing image classification method based on residual network and attention mechanism

In the process of remote sensing image classification, remote sensing image itself has the characteristics of complex spatial relationship and diverse information in the image. This paper puts forward a remote sensing image classification method based on the residual network ResNet50, adding channel attention and spatial attention mechanism, replace the full connection layer. The experimental results prove its feasibility, and when the remote sensing image data does not meet the independent and identical distribution, it can still get better classification effect when it is input into the improved ResNet50, so as to further process the remote sensing image.