Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

106
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
106
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

541
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
541
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

263
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
263

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Bacterial Community Structure and FEAST Source Tracking of Endophytes in <i>Vernonia anthelmintica</i> (L.) Willd. from Southern Xinjiang, China.

Microorganisms·2026
Same author

Research on UAV dynamic frame rate adaptation and multi-feature fusion network optimization in intelligent monitoring of animal husbandry.

PloS one·2025
Same author

Research on Enhanced Dynamic Pig Counting Based on YOLOv8n and Deep SORT.

Sensors (Basel, Switzerland)·2025
Same author

A multi-target tracking method for UAV monitoring wildlife in Qinghai.

PloS one·2025
Same author

Open-set deep learning-enabled single-cell Raman spectroscopy for rapid identification of airborne pathogens in real-world environments.

Science advances·2025
Same author

A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture.

Sensors (Basel, Switzerland)·2024
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 16, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

644

Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images.

Yu Jiang1,2, Jiasen Zhao3, Wei Luo3

  • 1Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces FR-SGCN, a novel graph convolutional network model for accurate road extraction from remote sensing data. The model improves detection in complex environments, supporting urban planning and sustainable development.

Keywords:
depthwise separable convolutiongradient operatorgraph convolutiongraph reasoningroad extractionsmart cities

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.9K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.4K

Related Experiment Videos

Last Updated: Sep 16, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

644
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.9K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.4K

Area of Science:

  • Remote Sensing
  • Computer Vision
  • Geographic Information Systems

Background:

  • Road extraction from remote sensing data is vital for urban intelligent renewal and sustainable development.
  • Deep learning models face challenges in distinguishing roads from similar backgrounds and detecting occluded roads.

Purpose of the Study:

  • To propose an improved Graph Convolutional Network (GCN) model, FR-SGCN, for enhanced precision and robustness in road extraction.
  • To support precise planning of green infrastructure and intelligent urban renewal.

Main Methods:

  • Utilized ResNeXt for high-dimensional feature extraction, enhancing data expressiveness.
  • Employed attention mechanisms for enhanced channel and spatial features to mitigate background interference and intra-class ambiguity.
  • Developed a hybrid adjacency matrix construction using gradient operators and graph reasoning for capturing global contextual relationships.

Main Results:

  • FR-SGCN achieved the highest F1 score compared to 12 other methods on both self-built and public datasets.
  • Demonstrated effective extraction of occluded roads and reduced redundant construction risks.
  • Provided reliable technical support for smart cities and sustainable development.

Conclusions:

  • The proposed FR-SGCN model significantly improves road extraction accuracy and robustness, especially in complex scenarios.
  • The model's ability to handle occlusions and reduce ambiguity offers practical benefits for urban planning and development.
  • FR-SGCN contributes to advancing intelligent techniques for smart cities and green infrastructure initiatives.