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

Moment-of-Momentum Equation01:09

Moment-of-Momentum Equation

The moment-of-momentum equation is a critical tool for analyzing the torque produced by the rotating blades of a wind turbine. This equation is derived by applying Newton's second law to a fluid particle, which states that the rate of change of linear momentum is equal to the external force acting on the particle.
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
Wave Parameters01:10

Wave Parameters

The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
Velocity and Acceleration of a Wave00:51

Velocity and Acceleration of a Wave

A wave propagates through a medium with a constant speed, known as a wave velocity. It is different from the speed of the particles of the medium, which is not constant. In addition, the velocity of the medium is perpendicular to the velocity of the wave. The variable speed of the particles of the medium implies that there must be acceleration associated with it. 
The velocity of the particles can be obtained by taking the partial derivative of the position equation with respect to time. We can...
Doppler Effect - II01:05

Doppler Effect - II

The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
Propagation of Waves01:07

Propagation of Waves

When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...

You might also read

Related Articles

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

Sort by
Same author

A Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification.

Journal of imaging·2024
Same author

A reusable neural network pipeline for unidirectional fiber segmentation.

Scientific data·2022
Same author

Cric searchable image database as a public platform for conventional pap smear cytology data.

Scientific data·2021
Same author

Saliency-driven system models for cell analysis with deep learning.

Computer methods and programs in biomedicine·2019
Same author

Recent computational methods for white blood cell nuclei segmentation: A comparative study.

Computer methods and programs in biomedicine·2019
Same author

Deep learning for cell image segmentation and ranking.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2019
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: May 26, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

Wavelet analysis for wind fields estimation.

Gladeston C Leite1, Daniela M Ushizima, Fátima N S Medeiros

  • 1Teleinformatics Engineering Department, Federal University of Ceará, Fortaleza, CE 60455-970, Brazil. matfecli@uece.br

Sensors (Basel, Switzerland)
|January 6, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces an automated framework for estimating wind direction and speed from synthetic aperture radar (SAR) images using wavelet decomposition. The method enhances accuracy for moderate wind speeds, aiding applications like oil spill and wind farm evaluations.

Keywords:
CMOD4FFTSARwind directionwind speed

More Related Videos

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
09:17

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

Published on: April 23, 2018

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180&#176; Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Related Experiment Videos

Last Updated: May 26, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods
09:17

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

Published on: April 23, 2018

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180&#176; Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Area of Science:

  • Remote Sensing
  • Signal Processing
  • Oceanography

Background:

  • Synthetic Aperture Radar (SAR) images are crucial for analyzing wind fields.
  • Accurate wind direction and speed estimation from SAR data is essential for various environmental and industrial applications.
  • Existing methods for wind retrieval from SAR images have limitations, especially in moderate wind conditions.

Purpose of the Study:

  • To develop an automated framework for retrieving wind direction from SAR images.
  • To enhance the reliability of directional information extraction for wind speeds between 5 and 10 m/s.
  • To enable more accurate local wind speed calculations using empirical models and estimated directional data.

Main Methods:

  • Utilized wavelet decomposition, specifically the undecimated wavelet transform (à trous algorithm with B(3) spline scaling function).
  • Incorporated spectral processing and explored various wavelet bases (Gabor, Mexican-hat) for robust feature extraction.
  • Integrated C-band empirical models with retrieved directional information to calculate local wind speeds.

Main Results:

  • The proposed framework successfully automates wind direction retrieval from SAR images.
  • Enhanced directional information extraction was achieved, particularly for wind speeds ranging from 5 to 10 m/s.
  • Calculated local wind speeds showed good agreement when compared with QuikSCAT scatterometer data.

Conclusions:

  • The developed wavelet-based framework offers a reliable method for automated wind direction and speed estimation from SAR data.
  • The approach demonstrates significant potential for applications such as oil spill monitoring and wind farm resource assessment.
  • Further validation and application of the method in diverse oceanic and atmospheric conditions are warranted.