Results 31 to 40 of about 2,797,503 (360)
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
openaire +3 more sources
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
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Obtaining Road information from high-resolution remote sensing images is gaining attention in intelligent transportation systems. Existing road extraction methods tend to improve road connectivity with graph convolution or global attention, however ...
Ziqing Luo +5 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
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
doaj +1 more source
Road extraction for EuroSDR contest
SPIE Proceedings, 2006 This paper presents the participation of the SIC to the EuroSDR contest (European Spatial Data Research; formerly known as OEEPE) about road extraction. After presenting the framework of the EuroSDR contest, our approach for road extraction is described.
Vinciane Lacroix, Charles Beumier
openaire +2 more sources
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