Smart City Gnosys

Smart city article details

Title	Seg-Road: A Segmentation Network For Road Extraction Based On Transformer And Cnn With Connectivity Structures
ID_Doc	48027
Authors	Tao J.; Chen Z.; Sun Z.; Guo H.; Leng B.; Yu Z.; Wang Y.; He Z.; Lei X.; Yang J.
Year	2023
Published	Remote Sensing, 15, 6
DOI	http://dx.doi.org/10.3390/rs15061602
Abstract	Acquiring road information is important for smart cities and sustainable urban development. In recent years, significant progress has been made in the extraction of urban road information from remote sensing images using deep learning (DL) algorithms. However, due to the complex shape, narrowness, and high span of roads in the images, the results are often unsatisfactory. This article proposes a Seg-Road model to improve road connectivity. The Seg-Road uses a transformer structure to extract the long-range dependency and global contextual information to improve the fragmentation of road segmentation and uses a convolutional neural network (CNN) structure to extract local contextual information to improve the segmentation of road details. Furthermore, a novel pixel connectivity structure (PCS) is proposed to improve the connectivity of road segmentation and the robustness of prediction results. To verify the effectiveness of Seg-Road for road segmentation, the DeepGlobe and Massachusetts datasets were used for training and testing. The experimental results show that Seg-Road achieves state-of-the-art (SOTA) performance, with an intersection over union (IoU) of 67.20%, mean intersection over union (MIoU) of 82.06%, F1 of 91.43%, precision of 90.05%, and recall of 92.85% in the DeepGlobe dataset, and achieves an IoU of 68.38%, MIoU of 83.89%, F1 of 90.01%, precision of 87.34%, and recall of 92.86% in the Massachusetts dataset, which is better than the values for CoANet. Further, it has higher application value for achieving sustainable urban development. © 2023 by the authors.
Author Keywords	pixel connectivity structure; remote sensing imagery; road extraction; Seg-Road

Similar Articles

Id	Similarity	Authors	Title	Published
48039	0.91	Yu Z.; Chen Z.; Xiao K.; Lei X.; Tang R.; He Q.; Sun Z.; Guo H.	Segroadv2: A Hybrid Deformable Self-Attention And Convolutional Network For Road Extraction With Connectivity Structure	International Journal of Digital Earth, 18, 1 (2025)
789	0.904	Zhou H.; He H.; Xu L.; Ma L.; Zhang D.; Chen N.; Chapman M.A.; Li J.	A Comparative Study Of Deep Learning Methods For Automated Road Network Extraction From High-Spatial-Resolution Remotely Sensed Imagery	Photogrammetric Engineering and Remote Sensing, 91, 3 (2025)
46779	0.901	Kumar K.M.	Roadtransnet: Advancing Remote Sensing Road Extraction Through Multi-Scale Features And Contextual Information	Signal, Image and Video Processing, 18, 3 (2024)
17968	0.901	Lu X.; Weng Q.	Deep Learning-Based Road Extraction From Remote Sensing Imagery: Progress, Problems, And Perspectives	ISPRS Journal of Photogrammetry and Remote Sensing, 228 (2025)
35155	0.893	Niu P.; Cai T.; Zhang Y.; Zhang P.; Xu W.; Gu J.; Han J.	Lg-Umer: Unet-Like Network Integrate Local-Global Feature With Novel Attention For Road Extraction From Remote Sensing Images	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)
60739	0.886	Jiang Y.; Zhao J.; Luo W.; Guo B.; An Z.; Xu Y.	Utilizing Gcn-Based Deep Learning For Road Extraction From Remote Sensing Images	Sensors, 25, 13 (2025)
4194	0.874	Pruthi J.; Dhingra S.	A Review Of Research On Road Feature Extraction Through Remote Sensing Images Based On Deep Learning Algorithms	Proceedings - 2023 3rd International Conference on Innovative Sustainable Computational Technologies, CISCT 2023 (2023)
2339	0.869	Peng J.; Yang Q.; Hou Y.	A Lightweight Road Scene Semantic Segmentation Algorithm	Computers, Materials and Continua, 77 (2023)
25932	0.869	Bimanjaya A.; Handayani H.H.; Rachmadi R.F.	Extraction Of Road Network In Urban Area From Orthophoto Using Deep Learning And Douglas-Peucker Post-Processing Algorithm	IOP Conference Series: Earth and Environmental Science, 1127, 1 (2023)
45994	0.861	Xu Y.; Shi Z.; Xie X.; Chen Z.; Xie Z.	Residual Channel Attention Fusion Network For Road Extraction Based On Remote Sensing Images And Gps Trajectories	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17 (2024)