Jove
Visualize
Contact Us

Related Concept Videos

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

205
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
205
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

216
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
216

You might also read

Related Articles

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

Sort by
Same author

A Feasibility Study of Automated Detection and Classification of Signals in Distributed Acoustic Sensing.

Sensors (Basel, Switzerland)·2025
Same author

Testing the Effect of Bathymetric Data Reduction on the Shape of the Digital Bottom Model.

Sensors (Basel, Switzerland)·2023
Same author

Review of Shoreline Extraction Methods from Aerial Laser Scanning.

Sensors (Basel, Switzerland)·2023
Same author

Sensors and System for Vehicle Navigation.

Sensors (Basel, Switzerland)·2022
Same author

Analysis of Methods for Determining Shallow Waterbody Depths Based on Images Taken by Unmanned Aerial Vehicles.

Sensors (Basel, Switzerland)·2022
Same author

Probabilistic Maritime Trajectory Prediction in Complex Scenarios Using Deep Learning.

Sensors (Basel, Switzerland)·2022
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
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 Experiment Video

Updated: Dec 5, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.2K

Remote Sensing in Vessel Detection and Navigation.

Henning Heiselberg1, Andrzej Stateczny2

  • 1National Space Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

Sensors (Basel, Switzerland)
|October 20, 2020
PubMed
Summary
This summary is machine-generated.

This Special Issue showcases advancements in remote sensing for vessel detection and navigation, incorporating artificial intelligence and the latest scientific trends. It features 15 peer-reviewed papers on navigational sensor technologies.

Keywords:
navigationremote sensingvessel detection

More Related Videos

Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse
09:52

Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse

Published on: March 8, 2013

16.6K
Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
09:22

Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA

Published on: October 31, 2011

13.3K

Related Experiment Videos

Last Updated: Dec 5, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.2K
Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse
09:52

Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse

Published on: March 8, 2013

16.6K
Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
09:22

Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA

Published on: October 31, 2011

13.3K

Area of Science:

  • Maritime Technology
  • Remote Sensing Applications
  • Artificial Intelligence in Navigation

Background:

  • The Special Issue focuses on remote sensing technologies applied to vessel detection and navigation.
  • It addresses the increasing need for advanced navigational sensors in maritime operations.

Discussion:

  • The collection of articles reflects current scientific trends in the field.
  • Integration of artificial intelligence (AI) is a key theme across several studies.

Key Insights:

  • Remote sensing offers powerful tools for accurate vessel detection.
  • AI enhances the capabilities of navigational sensors for improved performance.

Outlook:

  • Future research will likely see further integration of AI in remote sensing for maritime applications.
  • Continued development in sensor technology will improve vessel navigation and safety.