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GPR Signal Characterization for Automated Landmine and UXO Detection Based on Machine Learning Techniques

https://doi.org/10.3390/rs6109729
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11220-006-0024-5openalex-snapshot
A review of GPR for landmine detection
inferredcites →https://doi.org/10.1016/b978-0-444-53348-7.x0001-4openalex-snapshot
Ground Penetrating Radar Theory and Applications
inferredcites →https://doi.org/10.1016/j.jappgeo.2008.05.003openalex-snapshot
Resolution of GPR bowtie antennas: An experimental approach
inferredcites →https://doi.org/10.1016/j.jappgeo.2013.08.006openalex-snapshot
A combined strategy for landmine detection and identification using synthetic GPR responses
inferredcites →https://doi.org/10.1016/j.ndteint.2008.12.007openalex-snapshot
Laboratory characterization of a GPR antenna for high-resolution testing: Radiation pattern and vertical resolution
inferredcites →https://doi.org/10.1016/s1532-0464(03)00034-0openalex-snapshot
Logistic regression and artificial neural network classification models: a methodology review
inferredcites →https://doi.org/10.1049/cp:19980678openalex-snapshot
Mobile metal detection: a field perspective
inferredcites →https://doi.org/10.1049/pbra015eopenalex-snapshot
Ground Penetrating Radar
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1109/36.885209openalex-snapshot
A novel signal processing technique for clutter reduction in GPR measurements of small, shallow land mines
inferredcites →https://doi.org/10.1109/36.927446openalex-snapshot
Landmine detection with ground penetrating radar using hidden Markov models
inferredcites →https://doi.org/10.1109/72.641468openalex-snapshot
Mine detection using scattering parameters
inferredcites →https://doi.org/10.1109/78.738250openalex-snapshot
Using genetic algorithms and neural networks for surface land mine detection
inferredcites →https://doi.org/10.1109/agpr.2005.1487840openalex-snapshot
Clutter reduction and detection of landmine objects in ground penetrating radar data using singular value decomposition (SVD)
inferredcites →https://doi.org/10.1109/hpca.2006.1598116openalex-snapshot
Construction and Use of Linear Regression Models for Processor Performance Analysis
inferredcites →https://doi.org/10.1109/icgpr.2010.5550079openalex-snapshot
Background removal from GPR data using Eigenvalues
inferredcites →https://doi.org/10.1109/icgpr.2010.5550141openalex-snapshot
Detection and classification of landmines using AR modeling of GPR data
inferredcites →https://doi.org/10.1109/icgpr.2012.6254982openalex-snapshot
3D Segmentation of ground penetrating radar data for landmine detection
inferredcites →https://doi.org/10.1109/icnn.1997.614007openalex-snapshot
Structural adaptation in neural networks with application to land mine detection
inferredcites →https://doi.org/10.1109/iwagpr.2011.5963887openalex-snapshot
Landmine detection using boosting classifiers with adaptive feature selection
inferredcites →https://doi.org/10.1109/nrsc.1999.760927openalex-snapshot
Random neural network filter for land mine detection
inferredcites →https://doi.org/10.1109/tce.2007.381734openalex-snapshot
A Dynamic Histogram Equalization for Image Contrast Enhancement
inferredcites →https://doi.org/10.1117/12.271477openalex-snapshot
Structural adaptation in neural networks with application to land mine detection
inferredcites →https://doi.org/10.1117/12.663537openalex-snapshot
MinehoundTMtrials in Cambodia, Bosnia, and Angola
inferredcites →https://doi.org/10.1117/12.664456openalex-snapshot
Handheld standoff mine detection system (HSTAMIDS) field evaluation in Namibia
inferredcites →https://doi.org/10.1184/r1/6555437openalex-snapshot
Logistic Regression for Data Mining and High-Dimensional Classification
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Mine Clearance through an Artificial Intelligence Flying Drone
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A Comprehensive Review of Advanced Technologies for Landmine and Unexploded Ordnance Detection
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Estimating geometrical parameters of cylindrical targets detected by ground-penetrating radar using template matching algorithm
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Artificial Neural Networks and Machine Learning techniques applied to Ground Penetrating Radar: A review
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Signal-to-Noise Ratio dependence on Ground Penetrating Radar antenna frequency in the field of landmine and UXO detection
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Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects
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Dependence of landmine radar signature on aspect angle
inferred← citeshttps://doi.org/10.1061/(asce)ps.1949-1204.0000632openalex-snapshot
Review of Machine Learning Algorithms for Automatic Detection of Underground Objects in GPR Images
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Ground Penetrating Radar for Buried Explosive Devices Detection: A Case Studies Review
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Covariance-guided landmine detection and discrimination using ground-penetrating radar data
inferred← citeshttps://doi.org/10.1080/09205071.2024.2400999openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/10298436.2018.1559317openalex-snapshot
Deep learning-based underground object detection for urban road pavement
inferred← citeshttps://doi.org/10.1080/10298436.2019.1645846openalex-snapshot
A novel 3D GPR image arrangement for deep learning-based underground object classification
inferred← citeshttps://doi.org/10.1088/1742-2132/13/4/491openalex-snapshot
Template-matching based detection of hyperbolas in ground-penetrating radargrams for buried utilities
inferred← citeshttps://doi.org/10.1088/1742-6596/3071/1/012017openalex-snapshot
Soil monitoring in real time to detect the existence of buried 3D highly conductive objects
inferred← citeshttps://doi.org/10.1088/1757-899x/564/1/012130openalex-snapshot
Radar pulses to image the subsurface using Ground Penetrating Radar (GPR)
inferred← citeshttps://doi.org/10.1088/2631-8695/ae2769openalex-snapshot
G-FSCNet: research on GPR coal-rock interface detection technology based on improved faster-RCNN and cubic spline interpolation anomaly midpoint filtering fusion
inferred← citeshttps://doi.org/10.1109/access.2020.3015496openalex-snapshot
Location and Characterization of Unexploded Ordnance-Like Targets With a Portable Transient Electromagnetic System
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Improved Differential Evolution Algorithm for Multi-Target Response Inversion Detected by a Portable Transient Electromagnetic Sensor
inferred← citeshttps://doi.org/10.1109/access.2021.3124285openalex-snapshot
Fast Localization of Underground Targets by Magnetic Gradient Tensor and Gaussian-Newton Algorithm With a Portable Transient Electromagnetic System
inferred← citeshttps://doi.org/10.1109/access.2025.3619159openalex-snapshot
A High-Performance Deep-Learning-Based Ground Penetrating Radar Classification Approach With Special Focus on Multi-Class Robustness
inferred← citeshttps://doi.org/10.1109/accs-peit.2017.8303045openalex-snapshot
Identification and classification of reflected landmine signals based on complex resonance frequency in dispersive media
inferred← citeshttps://doi.org/10.1109/csitss54238.2021.9682980openalex-snapshot
Artificial Neural Network based automatic classification of target shapes from GPR data
inferred← citeshttps://doi.org/10.1109/icgpr.2018.8441655openalex-snapshot
Archaeological Ground Penetrating Radar Surveys Under Variable Soil Moisture: Visual and Numerical Results
inferred← citeshttps://doi.org/10.1109/icipca65645.2025.11138774openalex-snapshot
Landmine Classification and Prediction Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/iwagpr.2017.7996109openalex-snapshot
Verification of algorithm for point extraction from hyperbolic reflections in GPR data
inferred← citeshttps://doi.org/10.1109/jstars.2019.2953505openalex-snapshot
Triplanar Imaging of 3-D GPR Data for Deep-Learning-Based Underground Object Detection
inferred← citeshttps://doi.org/10.1109/lgrs.2020.2970249openalex-snapshot
Characterization of the Internal Structure of Landmines Using Ground-Penetrating Radar
inferred← citeshttps://doi.org/10.1109/med61351.2024.10566207openalex-snapshot
Detection and Identification of Unexploded Ordnance Using a Two-Step Deep Learning Methodology
inferred← citeshttps://doi.org/10.1109/mgrs.2021.3082170openalex-snapshot
Contactless Ground Penetrating Radar Imaging: State of the art, challenges, and microwave tomography-based data processing
inferred← citeshttps://doi.org/10.1109/silcon55242.2022.10028944openalex-snapshot
Automatic Material Classification of Targets from GPR Data using Artificial Neural Networks
inferred← citeshttps://doi.org/10.1109/tgrs.2020.2984951openalex-snapshot
Landmine Detection Using Autoencoders on Multipolarization GPR Volumetric Data
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3098122openalex-snapshot
A Novel Convolutional Autoencoder-Based Clutter Removal Method for Buried Threat Detection in Ground-Penetrating Radar
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A Deep Learning Method for Recognizing Types of Unexploded Ordnance Based on Magnetic Detection
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Multi-Sensor Fusion for Remote Sensing of Metallic and Non-Metallic Object Classification in Complex Soil Environments and at Different Depths
inferred← citeshttps://doi.org/10.1117/1.jrs.12.036002openalex-snapshot
Adaptive landmine detection and localization system based on incremental one-class classification
inferred← citeshttps://doi.org/10.1117/1.jrs.16.018503openalex-snapshot
Buried target detection method for ground penetrating radar based on deep learning
inferred← citeshttps://doi.org/10.1190/segam2019-3211208.1openalex-snapshot
Real-time anomaly detection using dynamic time warping of GPR signals
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Automated Data Extraction from Synthetic and Real Radargrams of Complex Structures
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Method for Ground Penetrating Radar Identification of Intercalated Gangue Layers during Complex Structure Coal Seam Tunneling
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