Results 11 to 20 of about 266,707 (215)
Review on Active and Passive Remote Sensing Techniques for Road Extraction
Remote Sensing, 2021 Digital maps of road networks are a vital part of digital cities and intelligent transportation. In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images ...
Jianxin Jia +12 more
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A BOUNDARY AWARE NEURAL NETWORK FOR ROAD EXTRACTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Automatic road extraction from high-resolution remote sensing imagery has various applications like urban planning and automatic navigation. Existing methods for automatic road extraction however, focus on regional accuracy but not on the boundary ...
H. Sui, M. Zhou, M. Peng, N. Xiong
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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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AUTOMATIC DETECTION AND RECOGNITION OF ROAD INTERSECTIONS FOR ROAD EXTRACTION FROM IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Abstract. Automatic road extraction from remote sensing imagery is very useful for many applications involved with geographic information. For road extraction of urban areas, road intersections offer stable and reliable information for extraction of road network, with higher completeness and accuracy.
P. Li, J. Feng, Z. Ma, X. Li, Yong Li
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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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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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RemainNet: Explore Road Extraction from Remote Sensing Image Using Mask Image Modeling
Remote Sensing, 2023 Road extraction from a remote sensing image is a research hotspot due to its broad range of applications. Despite recent advancements, achieving precise road extraction remains challenging.
Zhenghong Li +3 more
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