Results 51 to 60 of about 2,797,503 (360)
Road map to extracting medium properties: an overview [PDF]
Nuclear Physics A, 2021 [v1:] 8 pages, 5 figures, Quark Matter 2019 Proceedings; [v2:] Reference added; Typos ...
openaire +3 more sources
Mixer U-Net: An Improved Automatic Road Extraction from UAV Imagery
Applied Sciences, 2022 Automatic road extraction from unmanned aerial vehicle (UAV) imagery has been one of the major research topics in the area of remote sensing analysis due to its importance in a wide range of applications such as urban planning, road monitoring ...
Furkat Sultonov +4 more
semanticscholar +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
Road Extraction From Satellite Images Using Attention-Assisted UNet
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThese days, extracting information from remote sensing data has a great impact on various aspects of our lives, such as infrastructure and urban planning, transportation and traffic management, forecasting and tracking natural disasters, searching for ...
Arezou Akhtarmanesh +5 more
semanticscholar +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 With the development of deep learning, the application of automatic road extraction has achieved great success. However, the main challenge is how to make full use of a large number of unlabeled images to improve segmentation models and how alleviate ...
Zhi-Hui You +4 more
semanticscholar +1 more source
RoadSeg-CD: A Network With Connectivity Array and Direction Map for Road Extraction From SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Road extraction from synthetic aperture radar (SAR) images has attracted much attention in the field of remote sensing image processing. General road extraction algorithms, affected by shadows of buildings and trees, are prone to producing fragmented ...
Fei Gao +4 more
doaj +1 more source
Bump extraction algorithm for variable amplitude fatigue loading [PDF]
, 2006 This paper presents the development of a fatigue mission synthesis algorithm, called Wavelet Bump Extraction (WBE), for summarising long records of fatigue road load data.
Abdullah, S +3 more
core +1 more source
Forest/rural road network detection and condition monitoring based on satellite imagery and deep semantic segmentation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesSustainable forest and emergency management require comprehensive data on the forest road network and its condition. This paper presents the final framework of the INFOROAD project (https://inforoad.karteco.gr/), which integrates cutting-edge remote ...
D. Kelesakis +8 more
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ISPRS International Journal of Geo-Information, 2021 The extraction of road information from high-resolution remotely-sensed images has important application value in many fields. Rural roads have the characteristics of relatively narrow widths and diversified pavement materials; these characteristics can ...
Hai Tan, Zimo Shen, Jiguang Dai
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Road Extraction Assisted by Laser Data [PDF]
Annals of GIS, 2002 Abstract How to make road extraction automatically remains a great challenge up to now. Published researches show that existing approaches are partly available for dealing with shadowed parts of roads especially to rural roads. In this paper, a new approach is proposed to apply laser range data to automatically extract urban roads from digital images ...
Kiyoshi Honda +3 more
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