Learning to Detect Roads in High-Resolution Aerial Images
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-15567-3_16
Reference22 articles.
1. Bajcsy, R., Tavakoli, M.: Computer recognition of roads from satellite pictures. IEEE Transactions on Systems, Man, and Cybernetics 6, 623–637 (1976)
2. Baltsavias, E.P.: Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems. ISPRS Journal of Photogrammetry and Remote Sensing 58, 129–151 (2004)
3. Mayer, H.: Object extraction in photogrammetric computer vision. ISPRS Journal of Photogrammetry and Remote Sensing 63, 213–222 (2008)
4. Hu, J., Razdan, A., Femiani, J.C., Cui, M., Wonka, P.: Road Network Extraction and Intersection Detection From Aerial Images by Tracking Road Footprints. IEEE Transactions on Geoscience and Remote Sensing 45, 4144–4157 (2007)
5. Laptev, I., Mayer, H., Lindeberg, T., Eckstein, W., Steger, C., Baumgartner, A.: Automatic extraction of roads from aerial images based on scale space and snakes. Machine Vision and Applications 12, 23–31 (2000)
Cited by 407 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
1. Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification;Heliyon;2024-09
2. Landscape Classification Using an Optimized Ghost Network from Aerial Images;Journal of the Indian Society of Remote Sensing;2024-08-11
3. Land cover classification in high-resolution remote sensing: using Swin Transformer deep learning with texture features;Journal of Spatial Science;2024-08-07
4. Mapping off-road tracks and animal paths in protected areas using high-resolution GeoEye-1 panchromatic satellite imagery;International Journal of Remote Sensing;2024-07-22
5. Knowledge Distillation for Road Detection Based on Cross-Model Semi-Supervised Learning;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3