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

You might also read

Related Articles

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

Sort by
Same author

ALDH3A2-mediated fatty acid synthesis induces ferroptosis and AML drug resistance.

iScience·2026
Same author

Simultaneous Deep Protonation and Twist Modulation in Individual Covalent Organic Frameworks for Boosting Photocatalysis.

Nano letters·2026
Same author

Clinical Significance and Mechanistic Role of circLPAR3/miR-634 in Ischemic Stroke.

Neurochemical research·2026
Same author

Bandgap-Engineered Pt<sub>x</sub>Te<sub>y</sub>:Ag<sub>2</sub>Te Composite Quantum Dots Enable Programmable NIR-II Imaging and Photothermal-Immune Synergistic Therapy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

The impact of anion mixing on Li<sup>+</sup> coordination and transport properties in pyrrolidinium-based ionic liquid electrolytes.

Physical chemistry chemical physics : PCCP·2026
Same author

[Treatment of Paprosky type Ⅲ severe acetabular bone defects with two revision methods].

Zhongguo gu shang = China journal of orthopaedics and traumatology·2026

Related Experiment Video

Updated: Aug 15, 2025

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.5K

Phase unwrapping algorithm for images with local high-density noise.

Quan Wu, Gui Li Xu, Fu Ju Yan

    Applied Optics
    |January 6, 2023
    PubMed
    Summary

    A new multiple path-following phase unwrapping (MPIPU) algorithm recovers undersampled phases and reconstructs 3D surface topography from InSAR data, even with high-density noise.

    Area of Science:

    • Geophysics
    • Remote Sensing
    • Signal Processing

    Background:

    • Phase unwrapping is crucial for InSAR data processing.
    • Undersampling and high-density noise present significant challenges to robust phase unwrapping algorithms.

    Purpose of the Study:

    • To develop a novel phase unwrapping algorithm to address undersampling and noise in InSAR data.
    • To accurately reconstruct three-dimensional surface topography from interferometric synthetic aperture radar (InSAR) data.

    Main Methods:

    • Proposed a multiple path-following phase unwrapping (MPIPU) algorithm utilizing the shearing interference principle.
    • Developed a phase iteration filling algorithm based on least-squares, calculating an unwrapping coefficient k.
    • Applied the algorithm to recover undersampled phases and reconstruct 3D surface topography in noisy regions.

    More Related Videos

    Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
    09:55

    Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

    Published on: January 5, 2024

    1.3K
    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
    10:28

    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

    Published on: July 5, 2016

    10.4K

    Related Experiment Videos

    Last Updated: Aug 15, 2025

    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
    09:04

    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

    Published on: February 23, 2018

    9.5K
    Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
    09:55

    Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

    Published on: January 5, 2024

    1.3K
    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
    10:28

    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

    Published on: July 5, 2016

    10.4K

    Main Results:

    • The MPIPU algorithm successfully recovers undersampled phases in non-noise regions.
    • The least-squares based filling algorithm effectively reconstructs 3D surface topography in high-density noise regions.
    • Experimental results with simulated and actual InSAR data demonstrate robust phase unwrapping performance in the presence of local high-density noise.

    Conclusions:

    • The proposed MPIPU algorithm offers a robust solution for phase unwrapping in challenging InSAR data.
    • The algorithm effectively suppresses error transfer and reconstructs accurate 3D surface topography.
    • This method enhances the reliability of InSAR data analysis in noisy environments.