Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Thinned Linear Optical Phased Array Design Through a Pareto-Optimal Synthesis Strategy.

Sensors (Basel, Switzerland)·2025

Same author

On the Role of Training Data for SVM-Based Microwave Brain Stroke Detection and Classification.

Sensors (Basel, Switzerland)·2023

Same author

Wide-Band Wide-Beam Circularly-Polarized Slot-Coupled Antenna for Wide-Angle Beam Scanning Arrays.

Sensors (Basel, Switzerland)·2023

Same author

"Conical" Frustum Multi-Beam Phased Arrays for Air Traffic Control Radars.

Sensors (Basel, Switzerland)·2022

Same author

Low Discrepancy Sparse Phased Array Antennas.

Sensors (Basel, Switzerland)·2021

Same author

Full-Vectorial <i>3D</i> Microwave Imaging of Sparse Scatterers through a Multi-Task Bayesian Compressive Sensing Approach.

Journal of imaging·2021

Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026

Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026

Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026

Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026

Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026

Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 12, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Multi-Frequency GPR Microwave Imaging of Sparse Targets through a Multi-Task Bayesian Compressive Sensing Approach.

Marco Salucci¹, Nicola Anselmi¹

¹Department of Civil, Environmental and Mechanical Engineering, DICAM, ELEDIA Research Center (ELEDIA@UniTN-University of Trento), Via Mesiano 77, 38123 Trento, Italy.

Journal of Imaging

|November 25, 2021

Summary

This summary is machine-generated.

This study introduces a new inverse scattering method using multi-frequency ground penetrating radar data. The approach enhances imaging of sparse underground objects by combining frequency diversity with Bayesian compressive sensing.

Keywords:

ground penetrating radar (GPR)inverse scattering (IS)microwave imaging (MI)multi-frequency (MF)multi-task Bayesian compressive sensing (MT-BCS)

More Related Videos

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Related Experiment Videos

Last Updated: Oct 12, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Area of Science:

Geophysics
Electromagnetics
Signal Processing

Background:

Quantitative imaging of subsurface scatterers is crucial in various geophysical applications.
Traditional methods struggle with sparse targets in lossy media.
Ground penetrating radar (GPR) offers wide-band data suitable for inverse scattering.

Purpose of the Study:

To develop an innovative inverse scattering (IS) method for quantitative imaging of pixel-sparse scatterers.
To leverage multi-frequency (MF) GPR data and sparsity priors for improved imaging.
To enhance the accuracy and resolution of subsurface imaging in lossy half-spaces.

Main Methods:

An inverse scattering (IS) method is proposed.
Joint processing of multi-frequency (MF) spectral components from GPR data.
Enforcement of sparsity priors using a multi-task Bayesian compressive sensing (MT-BCS) methodology.

Main Results:

The MF-MT-BCS strategy effectively images pixel-sparse scatterers in a lossy half-space.
Demonstrated quantitative imaging capabilities by leveraging frequency diversity.
Achieved regularized solutions for non-linear scattering equations.

Conclusions:

The proposed MF-MT-BCS method provides a robust approach for subsurface imaging.
This technique enhances GPR data utilization by integrating MF components and sparsity priors.
The method shows promise as a competitive alternative to existing state-of-the-art imaging techniques.