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A review of road extraction from remote sensing images
Journal of Traffic and Transportation Engineering (English Edition), 2016 As a significant role for traffic management, city planning, road monitoring, GPS navigation and map updating, the technology of road extraction from a remote sensing (RS) image has been a hot research topic in recent years.
Patrik Eklund
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Automatic Road Centerline Extraction from Imagery Using Road GPS Data
Remote Sensing, 2014 Road centerline extraction from imagery constitutes a key element in numerous geospatial applications, which has been addressed through a variety of approaches.
Chuqing Cao, Ying Sun
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Road Extraction With Satellite Images and Partial Road Maps
IEEE Transactions on Geoscience and Remote Sensing, 2023 This paper has been accepted by IEEE Transactions on Geoscience and Remote ...
Qianxiong Xu +3 more
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Remote Sensing, 2021 Automatic extraction of the road surface and road centerline from very high-resolution (VHR) remote sensing images has always been a challenging task in the field of feature extraction.
Zhenfeng Shao, Zifan Zhou, Xiao Huang
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Road Extraction from High Resolution Remote Sensing Images Based on Vector Field Learning [PDF]
Sensors, 2021 Accurate and up-to-date road network information is very important for the Geographic Information System (GIS) database, traffic management and planning, automatic vehicle navigation, emergency response and urban pollution sources investigation.
Peng Liang +4 more
doaj +2 more sources
Road Extraction in SAR Images Using Ordinal Regression and Road-Topology Loss
Remote Sensing, 2021 The road extraction task is mainly composed of two subtasks, namely, road detection and road centerline extraction. As the road detection task and road centerline extraction task are strongly correlated, in this paper, we introduce a multitask learning ...
Xiaochen Wei, Xiaolei Lv, Kaiyu Zhang
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Remote Sensing, 2023 Road extraction is crucial in urban planning, rescue operations, and military applications. Compared to traditional methods, using deep learning for road extraction from remote sensing images has demonstrated unique advantages.
Xudong Wang +5 more
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Efficient Occluded Road Extraction from High-Resolution Remote Sensing Imagery
Remote Sensing, 2021 Road extraction is important for road network renewal, intelligent transportation systems and smart cities. This paper proposes an effective method to improve road extraction accuracy and reconstruct the broken road lines caused by ground occlusion ...
Dejun Feng +4 more
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Strip Attention Networks for Road Extraction
Remote Sensing, 2022 In recent years, deep learning methods have been widely used for road extraction in remote sensing images. However, the existing deep learning semantic segmentation networks generally show poor continuity in road segmentation due to the high-class similarity between roads and buildings surrounding roads in remote sensing images, and the existence of ...
Hai Huan, Yu Sheng, Yi Zhang, Yuan Liu
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Remote Sensing Road Extraction by Road Segmentation Network [PDF]
Applied Sciences, 2021 Road extraction from remote sensing images has attracted much attention in geospatial applications. However, the existing methods do not accurately identify the connectivity of the road. The identification of the road pixels may be interfered with by the
Jiahai Tan, Ming Gao, Kai Yang, Tao Duan
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