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

Generalized Hooke's Law01:22

Generalized Hooke's Law

2.7K
The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
2.7K
Generalized Anxiety Disorder01:30

Generalized Anxiety Disorder

707
Generalized Anxiety Disorder (GAD) is a chronic condition characterized by excessive and uncontrollable worry that persists for at least six months, significantly interfering with daily functioning. Unlike situational anxiety, which arises in response to specific stressors, GAD often occurs without a clear cause. Individuals may experience disproportionate worry about work, health, or relationships. For instance, a person might continuously fear poor health despite normal medical evaluations or...
707
Social Foundations of Self II: The Generalized Other01:20

Social Foundations of Self II: The Generalized Other

261
According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group...
261
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

1.4K
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
1.4K
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

56.1K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
56.1K
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

361
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
361

You might also read

Related Articles

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

Sort by
Same author

Exploring Neurofunctional Phase Transition Patterns in Autism Spectrum Disorder via Thermodynamics Parameters.

Entropy (Basel, Switzerland)·2026
Same author

<i>Bayes-xG</i>: player and position correction on expected goals (xG) using Bayesian hierarchical approach.

Frontiers in sports and active living·2024
Same author

Novel CAD Diagnosis Method Based on Search, PCA, and AdaBoostM1 Techniques.

Journal of clinical medicine·2024
Same author

RFS+: A Clinically Adaptable and Computationally Efficient Strategy for Enhanced Brain Tumor Segmentation.

Cancers·2023
Same author

High-precision density mapping of marine debris and floating plastics via satellite imagery.

Scientific reports·2023
Same author

Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict.

Frontiers in artificial intelligence·2023

Related Experiment Video

Updated: Feb 3, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.8K

Generalized Bayesian Model Selection for Speckle on Remote Sensing Images.

Oktay Karakus, Ercan E Kuruoglu, Mustafa A Altinkaya

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |October 30, 2018
    PubMed
    Summary

    This study introduces a novel Bayesian approach using trans-space reversible jump Markov chain Monte Carlo (RJMCMC) to automatically identify statistical models for speckle noise in Synthetic Aperture Radar (SAR) and Ultrasound (US) images.

    More Related Videos

    Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
    06:16

    Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

    Published on: April 25, 2019

    8.0K
    Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM
    19:16

    Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

    Published on: August 5, 2009

    16.5K

    Related Experiment Videos

    Last Updated: Feb 3, 2026

    Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
    12:26

    Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

    Published on: October 11, 2016

    13.8K
    Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
    06:16

    Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

    Published on: April 25, 2019

    8.0K
    Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM
    19:16

    Live Cell Imaging of F-actin Dynamics via Fluorescent Speckle Microscopy FSM

    Published on: August 5, 2009

    16.5K

    Area of Science:

    • Remote Sensing
    • Image Processing
    • Statistical Modeling

    Background:

    • Synthetic Aperture Radar (SAR) and Ultrasound (US) are active imaging techniques susceptible to multiplicative speckle noise.
    • Accurate estimation of speckle noise characteristics is vital for denoising and statistical inference in remote sensing.
    • Existing methods often require exhaustive searches for appropriate noise models.

    Purpose of the Study:

    • To develop an automated method for selecting statistical models of speckle noise in SAR and US images.
    • To estimate distribution family, shape, and scale parameters of speckle noise.
    • To improve statistical inference and denoising capabilities for remote sensing data.

    Main Methods:

    • Utilized a trans-space reversible jump Markov chain Monte Carlo (RJMCMC) algorithm.
    • Implemented an automatic model class selection mechanism within the RJMCMC framework.
    • Applied the method to diverse SAR (urban, forest, agricultural) and US (cardiac) images.

    Main Results:

    • The proposed trans-space RJMCMC method effectively identifies the correct statistical distribution family for speckle noise.
    • Accurate estimation of shape and scale parameters was achieved without exhaustive model searching.
    • Demonstrated efficiency in modeling speckle across various remote sensing image types.

    Conclusions:

    • The trans-space RJMCMC approach offers an efficient and automated solution for speckle noise modeling in SAR and US imaging.
    • This method enhances the statistical analysis and denoising potential of remote sensing data.
    • The findings contribute to improved image quality and interpretation in SAR and US applications.