Results 281 to 290 of about 568,064 (340)

Automatic road damage recognition based on improved YOLOv11 with multi-scale feature extraction and fusion attention mechanism. [PDF]

PLoS One
Zhang L, Deng Y, Zou Y.
europepmc   +1 more source

The Role of TRPV1 Channel in Cosmetic Safety Evaluation. [PDF]

ACS Omega
Zhang C, Zhou Y, Wang X, Wang F.
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Enhanced Cooperative Lithium Halide Recognition by Heteroditopic Halogen Bonding (XB) Macrocycles. [PDF]

Inorg Chem
Khianjinda T, Vigromsitdet S, Srisawat P, Sawektreeratana N, Tantirungrotechai J, Sukwattanasinitt M, Harding DJ, Beer PD, Tantirungrotechai Y, Bunchuay T.   +9 more
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Dynamic vehicular channel characteristics analysis and TDL modeling in different scenarios. [PDF]

Sci Rep
Li C, Zhang Z, Luo S, Zhang B, Yu J, Chen W.   +5 more
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An End-to-End autonomous driving model based on visual perception for temporary roads. [PDF]

PeerJ Comput Sci
Su Q, Xie M, Wang L, Song Y, Cui A, Xie Z.   +5 more
europepmc   +1 more source

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Road finding for road-network extraction

Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition, 2003
Automatic extraction of roads from aerial photos has been demonstrated in a number of systems, but the systems which display the better capabilities usually rely on manual selection of road starting points. This interaction with a human operator is eliminated by integrating a road-finding module into a road network extraction system.
Z. Aviad, P.D. Carnine
openaire   +1 more source

Road Extraction from Satellite Image Via Auxiliary Road Location Prediction

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Road extraction from satellite images is usually corrupted with several disconnected segments so that it does not satisfy the real application. The segmentation-based methods fail to correct separated roads due to the incompleteness information. Therefore, this paper introduces auxiliary Road Location Prediction(RLP), a task leveraging global context ...
Jingtao Hu, Qi Wang, Xuelong Li
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Road extraction in suburban areas by region-based road subgraph extraction and evaluation

2009 Joint Urban Remote Sensing Event, 2009
In this paper, a road extraction approach for suburban areas from high resolution CIR images is presented. The approach is region-based: the image is first segmented using the normalized cuts algorithm, then the initial segments are grouped to form segments, and road parts are extracted from these segments. Ideally roads in the image correspond to only
Anne Grote, Christian Heipke, Franz Rottensteiner, Hannes Meyer   +3 more
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Remote Sensing Road Extraction by Refining Road Topology

2020
Remote 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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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.
C. Beumier, V. Lacroix
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