Results 31 to 40 of about 2,255,908 (239)
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
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
doaj +1 more source
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
, 1995 copyright UK Data Service and data collection copyright owner.Road accident statistics are collected from information about personal injury road accidents and their consequent casualties, to a common national standard.
Department of Transport, Road Accident Statistics Branch
core +3 more sources
, 1994 copyright UK Data Service and data collection copyright owner.Road accident statistics are collected from information about personal injury road accidents and their consequent casualties, to a common national standard.
Department of Transport, Road Accident Statistics Branch
core +3 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
Extraction of road features from UAV images using a novel level set segmentation approach
, 2019 © 2019, © 2019 The Institute of Urban Sciences. A novel hybrid technique for road extraction from UAV imagery is presented in this paper. The suggested analysis begins with image segmentation via Trainable Weka Segmentation.
Pradhan, B +5 more
core +1 more source
Bayesian Fusion of Multi-Scale Detectors for Road Extraction from SAR Images
ISPRS International Journal of Geo-Information, 2017 This paper introduces an innovative road network extraction algorithm using synthetic aperture radar (SAR) imagery for improving the accuracy of road extraction.
Rui Xu +4 more
doaj +1 more source
Automatic road network extraction from multispectral satellite images
, 2012 The aim of this study is to develop an automatic road extraction algorithm for satellite images. In the road network extraction algorithm, edge detection, segmentation analysis, clustering, vegetation analysis is used.
Halıcı, Uğur +11 more
core +1 more source