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 Experiment Videos

Random noise attenuation using dual-module attention with multi-scale kernels.

Jayant Jharkhande1, Rajesh R Nair2

  • 1Petroleum Geomechanics Laboratory, DOE, IIT Madras, Chennai, India.

Scientific Reports
|July 3, 2026
PubMed
Summary

This study introduces a new Multi-Kernel Channel-Spatial Attention (MKCSA) module to reduce random noise in seismic data. The MKCSA-Net significantly improves seismic data quality for better geophysical exploration.

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

Psychosocial Health and Quality of Life Among Living Kidney Donors: A Study From a Tertiary Care Center in South India.

Kidney medicine·2026
Same author

Lytic Lesion of the Scapula Masquerading as Sarcoma: A Rare Manifestation of Diffuse Large B-Cell Lymphoma.

Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion·2026
Same author

Romiplostim Reduces Platelet Transfusion Needs in Multiple Myeloma Patients Undergoing Autologous Stem Cell Transplantation.

Cureus·2025
Same author

Chemotherapeutic Activity of Pitavastatin in Vincristine Resistant B-Cell Acute Lymphoblastic Leukemia.

Cancers·2023
Same author

Characterization of complex fluvial-deltaic deposits in Northeast India using Poisson impedance inversion and non-parametric statistical technique.

Scientific reports·2022
Same author

Pitavastatin Is Anti-Leukemic in a Bone Marrow Microenvironment Model of B-Lineage Acute Lymphoblastic Leukemia.

Cancers·2022

Area of Science:

  • Geophysics
  • Artificial Intelligence
  • Signal Processing

Background:

  • Improving seismic data quality is crucial for exploration geophysics.
  • Random and coherent noise degrade seismic records, hindering interpretation.
  • Conventional noise reduction methods can remove valuable geological signals.

Purpose of the Study:

  • To develop a novel attention module for effective random seismic noise attenuation.
  • To enhance the feature extraction capabilities for complex geological structures.
  • To improve the signal-to-noise ratio (SNR) in seismic data.

Main Methods:

  • Introduction of the Multi-Kernel Channel-Spatial Attention (MKCSA) module.
  • Integration of multi-kernel feature extraction with channel and spatial attention mechanisms.
Keywords:
AttentionDeep learningDenoisingExploration geophysicsMulti-kernel

Related Experiment Videos

  • Enrichment of the network's feature space for complex geological feature extraction.

    • Main Results:

    • The MKCSA-Net effectively attenuates random seismic noise.
    • The proposed attention mechanism enhances the extraction of local and global geological features.
    • Significant improvements in Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and Frequency Distance (FD) were observed compared to benchmark models.

    Conclusions:

    • The MKCSA-Net demonstrates superior performance in seismic data denoising.
    • The novel attention module effectively suppresses noise while preserving geological signals.
    • This approach offers a promising solution for enhancing seismic data quality in exploration geophysics.