Results 41 to 50 of about 2,797,503 (360)

Assessment of timber extraction distance and skid road network in steep karst terrain [PDF]

open access: yes, 2017
This study aims to define a simple and effective method to calculate skidding distances on steep karst terrain, rich in ground obstacles (stoniness and rockiness) to support decision planning of secondary and primary forest infrastructure network for ...
\u110uka, Andreja   +4 more
core   +2 more sources

Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2021
Road extraction from high-resolution remote sensing images (HRSIs) is essential for applications in various areas. Although deep convolutional neural networks (DCNNs) have exhibited remarkable success in road extraction, the performance relies on a large
Panle Li   +11 more
doaj  

SW-GAN: Road Extraction from Remote Sensing Imagery Using Semi-Weakly Supervised Adversarial Learning

open access: yesRemote Sensing, 2022
Road networks play a fundamental role in our daily life. It is of importance to extract the road structure in a timely and precise manner with the rapid evolution of urban road structure.
Hao Chen   +4 more
semanticscholar   +1 more source

Automatic road network extraction in suburban areas from high resolution aerial images [PDF]

open access: yes, 2010
In this paper a road network extraction algorithm for suburban areas is presented. The algorithm uses colour infrared (CIR) images and digital surface models (DSM). The CIR data allow a good separation between vegetation and roads.
Grote, Anne, Rottensteiner, Franz
core   +2 more sources

A Test of Automatic Road Extraction Approaches

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2006
ISSN:2194 ...
Mayer, Helmut   +3 more
openaire   +3 more sources

Complex Mountain Road Extraction in High-Resolution Remote Sensing Images via a Light Roadformer and a New Benchmark

open access: yesRemote Sensing, 2022
Mountain roads are of great significance to traffic navigation and military road planning. Extracting mountain roads based on high-resolution remote sensing images (HRSIs) is a hot spot in current road extraction research.
Xinyu Zhang   +6 more
semanticscholar   +1 more source

The extract from Portulaca oleracea L. rehabilitates skin photoaging via adjusting miR-138-5p/Sirt1-mediated inflammation and oxidative stress

open access: yesHeliyon, 2023
Photoaging is the main form of external skin aging, and ultraviolet radiation is the main cause. Long-term ultraviolet radiation can cause oxidative stress, inflammation, immune responses, and skin cell apoptosis.
Liping Qu, Feifei Wang, Xiao Ma
doaj  

Road network extraction with OSMNx and SUMOPy

open access: yesEPiC Series in Engineering, 2018
The microsimulation of larger cities would be of a considerable gain for urban planning. However, compared with traditional traffic flow assignment models, transport networks suitable for microsimulations require a large amount of data (connectivity, properties, road/rail signaling, etc.).
Dingil, Ali Enes   +3 more
openaire   +3 more sources

MECA-Net: A MultiScale Feature Encoding and Long-Range Context-Aware Network for Road Extraction from Remote Sensing Images

open access: yesRemote Sensing, 2022
Road extraction from remote sensing images is significant for urban planning, intelligent transportation, and vehicle navigation. However, it is challenging to automatically extract roads from remote sensing images because the scale difference of roads ...
Yongshi Jie   +7 more
semanticscholar   +1 more source

DeepWindow: Sliding Window Based on Deep Learning for Road Extraction From Remote Sensing Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The road centerline extraction is the key step of the road network extraction and modeling. The hand-craft feature engineering in the traditional road extraction methods is unstable, which makes the extracted road centerline deviated from the road center
Renbao Lian, Liqin Huang
doaj   +1 more source

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