Results 21 to 30 of about 568,064 (340)
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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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
doaj +1 more source
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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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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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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Determination of forest road surface roughness by kinect depth imaging [PDF]
, 2017 Roughness is a dynamic property of the gravel road surface that affects safety, ride comfort as well as vehicle tyre life and maintenance costs. A rapid survey of gravel road condition is fundamental for an effective maintenance planning and definition ...
Cavalli, Raffaele +5 more
core +2 more sources