Results 21 to 30 of about 266,707 (215)

MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation [PDF]

open access: yesISPRS Journal of Photogrammetry and Remote Sensing 2023, 2023
Efficient road and building footprint extraction from satellite images are predominant in many remote sensing applications. However, precise segmentation map extraction is quite challenging due to the diverse building structures camouflaged by trees, similar spectral responses between the roads and buildings, and occlusions by heterogeneous traffic ...
arxiv   +1 more source

Extracting Flooded Roads by Fusing GPS Trajectories and Road Network [PDF]

open access: yesISPRS 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

open access: yesApplied 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

Road Extraction from High-Resolution Remote Sensing Images via Local and Global Context Reasoning

open access: yesRemote 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

ROBUST APPROACH FOR URBAN ROAD SURFACE EXTRACTION USING MOBILE LASER SCANNING 3D POINT CLOUDS [PDF]

open access: yesThe 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

Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2023
Buildings are the basic carrier of social production and human life; roads are the links that interconnect social networks. Building and road information has important application value in the frontier fields of regional coordinated development, disaster prevention, auto-driving, etc.
arxiv   +1 more source

Research on Road Extraction Method Based on Sustainable Development Goals Satellite-1 Nighttime Light Data

open access: yesRemote 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
doaj   +1 more source

Efficient Occluded Road Extraction from High-Resolution Remote Sensing Imagery

open access: yesRemote 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

open access: yesSPIE 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

Towards the automated large-scale reconstruction of past road networks from historical maps [PDF]

open access: yes, 2022
Transportation infrastructure, such as road or railroad networks, represent a fundamental component of our civilization. For sustainable planning and informed decision making, a thorough understanding of the long-term evolution of transportation infrastructure such as road networks is crucial.
arxiv   +1 more source

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