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