Improvements to the Histogram of Oriented Gradient (HOG) prescreener for buried threat detection in ground penetrating radar data

Mapping Intimacies ◽

10.1117/12.2263107 ◽

2017 ◽

Author(s):

Daniël Reichman ◽

Leslie M. Collins ◽

Jordan M. Malof

Keyword(s):

Ground Penetrating Radar ◽

Threat Detection ◽

Histogram Of Oriented Gradient ◽

Ground Penetrating

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A robust Bayesian approach to target detection applied to explosive threat detection in handheld ground penetrating radar data

10.1117/12.2050514 ◽

2014 ◽

Author(s):

Kenneth D. Morton ◽

Leslie M. Collins ◽

Peter A. Torrione

Keyword(s):

Target Detection ◽

Bayesian Approach ◽

Ground Penetrating Radar ◽

Threat Detection ◽

Ground Penetrating

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Histogram of gradient features for buried threat detection in ground penetrating radar data

2012 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2012.6350748 ◽

2012 ◽

Author(s):

Peter Torrione ◽

Kenneth D. Morton ◽

Rayn Sakaguchi ◽

Leslie M. Collins

Keyword(s):

Ground Penetrating Radar ◽

Threat Detection ◽

Ground Penetrating

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If training data appears to be mislabeled, should we relabel it? Improving supervised learning algorithms for threat detection in ground penetrating radar data

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII ◽

10.1117/12.2305881 ◽

2018 ◽

Author(s):

Daniël Reichman ◽

Leslie M. Collins ◽

Jordan M. Malof

Keyword(s):

Supervised Learning ◽

Ground Penetrating Radar ◽

Learning Algorithms ◽

Training Data ◽

Threat Detection ◽

Supervised Learning Algorithms ◽

Ground Penetrating

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How much shape information is enough, or too much? Designing imaging descriptors for threat detection in ground penetrating radar data

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII ◽

10.1117/12.2305880 ◽

2018 ◽

Author(s):

Daniël Reichman ◽

Leslie M. Collins ◽

Jordan M. Malof

Keyword(s):

Ground Penetrating Radar ◽

Threat Detection ◽

Shape Information ◽

Ground Penetrating

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How transferable are downward-looking and handheld ground penetrating radar data? Experiments in the context of buried threat detection

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV ◽

10.1117/12.2519969 ◽

2019 ◽

Author(s):

Evan Stump ◽

Daniël Reichman ◽

Leslie M. Collins ◽

Jordan M. Malof

Keyword(s):

Ground Penetrating Radar ◽

Threat Detection ◽

Ground Penetrating

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Learning improved pooling regions for the Histogram of Oriented Gradient (HOG) feature for buried threat detection in ground penetrating radar

10.1117/12.2263108 ◽

2017 ◽

Author(s):

Daniël Reichman ◽

Leslie M. Collins ◽

Jordan M. Malof

Keyword(s):

Ground Penetrating Radar ◽

Threat Detection ◽

Histogram Of Oriented Gradient ◽

Ground Penetrating

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Application of Convolutional and Recurrent Neural Networks for Buried Threat Detection Using Ground Penetrating Radar Data

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.2978763 ◽

2020 ◽

Vol 58 (10) ◽

pp. 7022-7034

Author(s):

Mahdi Moalla ◽

Hichem Frigui ◽

Andrew Karem ◽

Abdelhamid Bouzid

Keyword(s):

Neural Networks ◽

Ground Penetrating Radar ◽

Recurrent Neural Networks ◽

Threat Detection ◽

Ground Penetrating

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Improving the histogram of oriented gradient feature for threat detection in ground penetrating radar by implementing it as a trainable convolutional neural network

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII ◽

10.1117/12.2305797 ◽

2018 ◽

Author(s):

Jordan M. Malof ◽

John Bralich ◽

Daniël Reichman ◽

Leslie M. Collins

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Ground Penetrating Radar ◽

Threat Detection ◽

Histogram Of Oriented Gradient ◽

Ground Penetrating ◽

Gradient Feature

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A Comparison of Feature Representations for Explosive Threat Detection in Ground Penetrating Radar Data

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2017.2732226 ◽

2017 ◽

Vol 55 (12) ◽

pp. 6736-6745 ◽

Author(s):

Rayn Sakaguchi ◽

Kenneth D. Morton ◽

Leslie M. Collins ◽

Peter A. Torrione

Keyword(s):

Ground Penetrating Radar ◽

Threat Detection ◽

Feature Representations ◽

Ground Penetrating

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On Choosing Training and Testing Data for Supervised Algorithms in Ground-Penetrating Radar Data for Buried Threat Detection

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2017.2750920 ◽

2018 ◽

Vol 56 (1) ◽

pp. 497-507 ◽

Author(s):

Daniel Reichman ◽

Leslie M. Collins ◽

Jordan M. Malof

Keyword(s):

Ground Penetrating Radar ◽

Threat Detection ◽

Testing Data ◽

Ground Penetrating

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