[1] [1] Gunawan, A. A. S, Arifiany I, Irwansyah E. Semantic segmentation of aerial imagery for road and building extraction with deep learning[J]. ICIC Express Letters, 2020, 14(1): 43-52.

[3] [3] Hu J R, Pan J, Tu J G, et al. MINet: Multilevel Inheritance Network-Based Aerial Scene Classification[J]. IEEE geoscience and remote sensing letters, 2022, 19: 1-5.

[4] [4] Hou Y W, Liu Z Y, Zhang T, et al. C-unet: complement unet for remote sensing road extraction[J]. Sensors, 2021, 21(6): 2153-2153.

[6] [6] Zhang Z X, Liu Q J, Wang Y H. Road Extraction by Deep Residual U-Net[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(5): 749-753.

[7] [7] Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[M]. Lecture notes in computer science. Cham: Springer, 2015, 9351: 234-241.

[8] [8] Chen L C, Zhu Y, Papandreou G, et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[C]//Proceedings of the European Conferenceon ComputerVision (ECCV). 2018: 801-818.

[9] [9] Chen L C, Papandreou G, Kokkinos I, et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40(4): 834-848.

[10] [10] Zhou L, Zhang C, Ming W. D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 18-22, 2018, Salt Lake City, UT, USA. New York: IEEE, 2018: 192-194.

[11] [11] Fu J, Liu J, Tian H, et al. Dual attention network for scene segmentation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019: 3146-3154.

[12] [12] Yu C, Wang J, Peng C, et al. Bisenet: Bilateral segmentation network for real-time semantic segmentation[C]//Proceedings of the European Conference on Computer Vision (ECCV). 2018: 325-341.

[15] [15] Canny J. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986(6): 679G698.

[16] [16] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE Press, 2018: 7132-7141.

[17] [17] Mnih V. Machine Learning for Aerial Image Labeling[D]. Toronto: University of Toronto, 2013.