Road extraction as a significant role in traffic management, road monitoring, and autodriving cars have been important research topics in recent years. A deep learning method based on U-net and spatially squeeze and exciting channelwise (SE) is proposed for recognizing road. The SE attention block reweights feature maps from U-net layers and highlights only useful channels. We added this block to U-net and test out proposed method on two road datasets. Finally, we compare our method with other methods, and the results demonstrate that the proposed method outperforms other networks.