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Remote Sensing Road Extraction by Refining Road Topology
2020Remote sensing road extraction is one of the research hotspots in high-resolution remote sensing images. However, many road extraction methods cannot hold the edge interference, including shadows of sheltered trees and vehicles. In this paper, a novel remote sensing road extraction (RSRE) method based on deep learning is proposed, which considers the ...
Huiqin Gao, Yuan Yuan, Xiangtao Zheng
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IEEE Geoscience and Remote Sensing Magazine
A rising number of high-resolution photographs obtained using remote sensing are currently available. However, extracting the necessary information from such a massive volume of data in an accurate and timely manner remains a significant challenge.
Xuan Wang +4 more
semanticscholar +1 more source
A rising number of high-resolution photographs obtained using remote sensing are currently available. However, extracting the necessary information from such a massive volume of data in an accurate and timely manner remains a significant challenge.
Xuan Wang +4 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Letters, 2022
Road extraction is a significant research hotspot in the area of remote sensing images. Extracting an accurate road network from remote sensing images is still challenging, because some objects in the images are similar to the road, and some results are ...
Zhigang Yang +4 more
semanticscholar +1 more source
Road extraction is a significant research hotspot in the area of remote sensing images. Extracting an accurate road network from remote sensing images is still challenging, because some objects in the images are similar to the road, and some results are ...
Zhigang Yang +4 more
semanticscholar +1 more source
Road extraction for EuroSDR contest
SPIE Proceedings, 2006This 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.
C. Beumier, V. Lacroix
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Occlusion-Aware Road Extraction Network for High-Resolution Remote Sensing Imagery
IEEE Transactions on Geoscience and Remote SensingRoad occlusion seriously affects the connectivity of extracted roads, and has a negative effect on practical applications. The dense road occlusion problem is caused by high-rise buildings and street trees, and is a more serious and unique problem than ...
Ruoyu Yang +4 more
semanticscholar +1 more source
BDTNet: Road Extraction by Bi-Direction Transformer From Remote Sensing Images
IEEE Geoscience and Remote Sensing Letters, 2022The past several years have witnessed the rapid development of the task of road extraction in high-resolution remote sensing images. However, due to the complex background and road distribution, road extraction is still a challenging research in remote ...
Lin Luo +4 more
semanticscholar +1 more source
Spatial Attention Network for Road Extraction
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020Road extraction from high-resolution remote sensing images has become an important method to achieve real-time updating of road network to meet the application requirements. However, due to the diversity of road scenes, various road width, and occlusion, the detected roads in recent researches are often discontinuous and these narrow or fragmented road
Ruonan Chen, Yuan Hu, Tong Wu, Ling Peng
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IEEE Transactions on Geoscience and Remote Sensing
Road extraction from high-resolution remote sensing images has been an important research problem for decades. Despite the breakthrough progress of road extraction studies in recent years due to the rapid advancement of deep learning techniques in a ...
Jinpeng Li +4 more
semanticscholar +1 more source
Road extraction from high-resolution remote sensing images has been an important research problem for decades. Despite the breakthrough progress of road extraction studies in recent years due to the rapid advancement of deep learning techniques in a ...
Jinpeng Li +4 more
semanticscholar +1 more source
C²Net: Road Extraction via Context Perception and Cross Spatial-Scale Feature Interaction
IEEE Transactions on Geoscience and Remote SensingRoad extraction from remote sensing images (RSIs) holds significant application value in various aspects of daily scenarios. However, it is still challenging to extract high-quality road results from RSIs due to the interference of objects sharing ...
Zhigang Yang +5 more
semanticscholar +1 more source
2005
Abstract : Our research is focused on an investigation of automated road tracking using multiple images, toward a goal of fully automated extraction of 3D road networks with topology and attribution. The use of multiple images for road tracking makes the process more robust, due to analysis of the scene from different view points.
David M. McKeown +2 more
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Abstract : Our research is focused on an investigation of automated road tracking using multiple images, toward a goal of fully automated extraction of 3D road networks with topology and attribution. The use of multiple images for road tracking makes the process more robust, due to analysis of the scene from different view points.
David M. McKeown +2 more
openaire +1 more source