Results 21 to 30 of about 175,174 (259)
ROBUST APPROACH FOR URBAN ROAD SURFACE EXTRACTION USING MOBILE LASER SCANNING 3D POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Road surface extraction is crucial for 3D city analysis. Mobile laser scanning (MLS) is the most appropriate data acquisition system for the road environment because of its efficient vehicle-based on-road scanning opportunity.
A. Nurunnabi +4 more
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ROAD EXTRACTION FROM HIGH-RESOLUTION SATELLITE IMAGES: CHALLENGES, SOLUTIONS, AND FUTURE DIRECTIONS [PDF]
Proceedings on Engineering SciencesRoad extraction is a widespread use of remote sensing images; however, extracting roads precisely and effectively from satellite images is challenging.
Prerna Rawat +2 more
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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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Road Extraction from High-Resolution Remote Sensing Images via Local and Global Context Reasoning
Remote Sensing, 2023 Road extraction from high-resolution remote sensing images is a critical task in image understanding and analysis, yet it poses significant challenges because of road occlusions caused by vegetation, buildings, and shadows.
Jie Chen +7 more
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Leveraging optical and SAR data with a UU-Net for large-scale road extraction
International Journal of Applied Earth Observations and Geoinformation, 2021 Road datasets are fundamental and imperative for traffic management and urban planning. Different high-resolution optical remote sensing images are widely used for automatic road extraction but the results are usually limited to local scale and spectral ...
Yinyi Lin +6 more
doaj +1 more source
Remote Sensing, 2022 Road information plays a fundamental role in many applications. However, at present, it is difficult to extract road information from the traditional nighttime light images in view of their low spatial and spectral resolutions.
Dingkun Chang +3 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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Extracting Flooded Roads by Fusing GPS Trajectories and Road Network [PDF]
ISPRS International Journal of Geo-Information, 2019 Urban roads are the lifeline of urban transportation and satisfy the commuting and travel needs of citizens. Following the acceleration of urbanization and the frequent extreme weather in recent years, urban waterlogging is occurring more than usual in summer and has negative effects on the urban traffic networks. Extracting flooded roads is a critical
Shiying She +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Automatic extraction of road information based on data-driven methods is significant for various practical applications. Remote sensing (RS) images and GPS trajectories are two available data sources that can describe roads from a complementary ...
Yali Li +4 more
doaj +1 more source
RoadSeg-CD: A Network With Connectivity Array and Direction Map for Road Extraction From SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Road extraction from synthetic aperture radar (SAR) images has attracted much attention in the field of remote sensing image processing. General road extraction algorithms, affected by shadows of buildings and trees, are prone to producing fragmented ...
Fei Gao +4 more
doaj +1 more source