Results 11 to 20 of about 175,174 (259)
A review of road extraction from remote sensing images
Journal of Traffic and Transportation Engineering (English ed. Online), 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.
Weixing Wang +5 more
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Remote Sensing, 2019 The technology used for road extraction from remote sensing images plays an important role in urban planning, traffic management, navigation, and other geographic applications.
Hao He +4 more
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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 +3 more
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Remote Sensing, 2023 Advancements in data-acquisition technology have led to the increasing demand for high-precision road data for autonomous driving. Specifically, road boundaries and linear road markings, like edge and lane markings, provide fundamental guidance for ...
Seokchan Kang, Jeongwon Lee, Jiyeong Lee
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Remote Sensing, 2020 High-quality road network information plays a vital role in regional economic development, disaster emergency management and land planning. To date, studies have primarily focused on sampling flat urban roads, while fewer have paid attention to road ...
Zeyu Xu +7 more
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IEEE Access, 2023 As the boost of modern society, research on the extraction of road traffic markings has become increasingly popular. To improve the regional convolutional neural network, improve the road surface cloud segmentation algorithm based on the radius filtering
Fei Yu, Zhaoxia Lu
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Dual-Task Network for Road Extraction From High-Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 In high-resolution remote sensing images, road scale diversity and occlusions caused by shadows, buildings, and vegetation often pose challenges for road extraction.
Yuzhun Lin +4 more
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Semi-Automatic Method of Extracting Road Networks from High-Resolution Remote-Sensing Images
Applied Sciences, 2022 Road network extraction plays a critical role in data updating, urban development, and decision support. To improve the efficiency of labeling road datasets and addressing the problems of traditional methods of manually extracting road networks from high-
Kaili Yang +5 more
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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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