A deeply supervised vertex network for road network graph extraction in high-resolution images
-
Published:2024-09
Issue:
Volume:133
Page:104082
-
ISSN:1569-8432
-
Container-title:International Journal of Applied Earth Observation and Geoinformation
-
language:en
-
Short-container-title:International Journal of Applied Earth Observation and Geoinformation
Author:
Zhao YuORCID, Chen Zhengchao, Zhao Zhujun, Li Cong, Bai YongqingORCID, Wu Zhaoming, Wang DegangORCID, Chen Pan
Reference54 articles.
1. Improving road semantic segmentation using generative adversarial network;Abdollahi;IEEE Access,2021 2. Bastani, F., He, S., Abbar, S., Alizadeh, M., Balakrishnan, H., Chawla, S., Madden, S., DeWitt, D., 2018. Roadtracer: Automatic extraction of road networks from aerial images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4720–4728. 3. Batra, A., Singh, S., Pang, G., Basu, S., Jawahar, C., Paluri, M., 2019. Improved road connectivity by joint learning of orientation and segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10385–10393. 4. Inferring road maps from global positioning system traces: Survey and comparative evaluation;Biagioni;Transp. Res. Rec.,2012 5. A computational approach to edge detection;Canny;IEEE Trans. Pattern Anal. Mach. Intell.,1986
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|