Dr. Daniël Reichman Profile

Dr. Daniël Reichman

Research Scientist at Duke Univ

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Publications (14)

Proceedings Article | 10 May 2019 Presentation + Paper

An exploration of gradient-based features for buried threat detection using a handheld ground penetrating radar

Evan Stump, Daniel Reichman, Leslie Collins, Jordan Malof

Proceedings Volume 11012, 110120F (2019) https://doi.org/10.1117/12.2519949

KEYWORDS: Algorithm development, General packet radio service, Sensors, Detection and tracking algorithms, Ground penetrating radar, Feature extraction, Radar, Antennas, Image filtering, Reflection

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Proceedings Article | 10 May 2019 Presentation + Paper

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

Evan Stump, Daniel Reichman, Leslie Collins, Jordan Malof

Proceedings Volume 11012, 110120G (2019) https://doi.org/10.1117/12.2519969

KEYWORDS: Algorithm development, General packet radio service, Detection and tracking algorithms, Sensors, Ground penetrating radar, Antennas, Feature extraction, Data modeling, Radar, Systems modeling

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Proceedings Article | 10 May 2019 Presentation + Paper

Reliable training of convolutional neural networks for GPR-based buried threat detection using the Adam optimizer and batch normalization

Steven Jacobson, Daniël Reichman, Joel Bjornstad, Leslie Collins, Jordan Malof

Proceedings Volume 11012, 1101206 (2019) https://doi.org/10.1117/12.2519798

KEYWORDS: General packet radio service, Convolutional neural networks, Detection and tracking algorithms, Neurons, Control systems, Performance modeling, Data processing, Algorithm development, Data modeling, Network architectures

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Proceedings Article | 30 April 2018 Paper

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

Daniël Reichman, Leslie Collins, Jordan Malof

Proceedings Volume 10628, 106280F (2018) https://doi.org/10.1117/12.2305881

KEYWORDS: General packet radio service, Machine learning, Data analysis, Algorithm development, Detection and tracking algorithms, Data modeling, Ground penetrating radar, Visualization, Antennas, Feature extraction

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Proceedings Article | 30 April 2018 Paper

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

Daniël Reichman, Leslie Collins, Jordan Malof

Proceedings Volume 10628, 106280E (2018) https://doi.org/10.1117/12.2305880

KEYWORDS: Visualization, General packet radio service, Algorithm development, Feature extraction, Computer programming, Ground penetrating radar, Detection and tracking algorithms, Radar imaging, Sensors, Data processing

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Proceedings Article | 30 April 2018 Presentation + Paper

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

Jordan Malof, John Bralich, Daniël Reichman, Leslie Collins

Proceedings Volume 10628, 106280D (2018) https://doi.org/10.1117/12.2305797

KEYWORDS: General packet radio service, Feature extraction, Neural networks, Convolutional neural networks, Algorithm development, Ground penetrating radar, Detection and tracking algorithms, Data processing, Data modeling, Object recognition

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Proceedings Article | 30 April 2018 Presentation + Paper

How do we choose the best model? The impact of cross-validation design on model evaluation for buried threat detection in ground penetrating radar

Jordan Malof, Daniël Reichman, Leslie Collins

Proceedings Volume 10628, 106280C (2018) https://doi.org/10.1117/12.2305793

KEYWORDS: Detection and tracking algorithms, Data modeling, Ground penetrating radar, Algorithm development, Data processing, Feature extraction, Visual process modeling, Unexploded object detection, Threat warning systems

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Proceedings Article | 3 May 2017 Presentation + Paper

Discriminative dictionary learning to learn effective features for detecting buried threats in ground penetrating radar data

Jordan Malof, Daniël Reichman, Leslie Collins

Proceedings Volume 10182, 101820W (2017) https://doi.org/10.1117/12.2263111

KEYWORDS: Chemical species, Visualization, Data modeling, Reconstruction algorithms, Detection and tracking algorithms, Ground penetrating radar, Algorithm development, Machine learning, Remote sensing, Target detection, Feature extraction, Target recognition

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Proceedings Article | 3 May 2017 Presentation + Paper

Improving convolutional neural networks for buried target detection in ground penetrating radar using transfer learning via pretraining

John Bralich, Daniël Reichman, Leslie Collins, Jordan Malof

Proceedings Volume 10182, 101820X (2017) https://doi.org/10.1117/12.2263112

KEYWORDS: Data modeling, Convolutional neural networks, Detection and tracking algorithms, Detector arrays, Photovoltaic detectors

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Proceedings Article | 3 May 2017 Presentation + Paper

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

Daniël Reichman, Leslie Collins, Jordan Malof

Proceedings Volume 10182, 101820V (2017) https://doi.org/10.1117/12.2263108

KEYWORDS: Ground penetrating radar, Detection and tracking algorithms, Shape analysis, Image processing, Data modeling, Performance modeling, Visualization, Machine vision, Computer vision technology, Receivers

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Proceedings Article | 3 May 2017 Presentation + Paper

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

Daniël Reichman, Leslie Collins, Jordan Malof

Proceedings Volume 10182, 101820U (2017) https://doi.org/10.1117/12.2263107

KEYWORDS: Ground penetrating radar, Radar, Target detection, Explosives, Remote sensing, Detection and tracking algorithms, Machine vision, Computer vision technology, Sensors, Antennas, Feature extraction, Data processing, Gaussian filters, Data modeling, Computing systems

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Proceedings Article | 3 May 2016 Paper

Algorithm development for deeply buried threat detection in GPR data

Daniël Reichman, Jordan Malof, Leslie Collins

Proceedings Volume 9823, 98231A (2016) https://doi.org/10.1117/12.2222593

KEYWORDS: Target detection, Ground penetrating radar, Algorithm development, Remote sensing, Detection and tracking algorithms, General packet radio service, Sensors, Data processing, Detector development, Signal attenuation

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Proceedings Article | 21 May 2015 Paper

Target signature localization in GPR data by jointly estimating and matching templates

Daniël Reichman, Kenneth Morton, Jordan Malof, Leslie Collins, Peter Torrione

Proceedings Volume 9454, 945416 (2015) https://doi.org/10.1117/12.2176627

KEYWORDS: Land mines, General packet radio service, Data modeling, Detection and tracking algorithms, Target detection, Data analysis, Process modeling, Ground penetrating radar, Remote sensing, Sensors

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Proceedings Article | 29 May 2014 Paper

Target localization and signature extraction in GPR data using expectation-maximization and principal component analysis

Daniel Reichman, Kenneth Morton, Leslie Collins, Peter Torrione

Proceedings Volume 9072, 90720Q (2014) https://doi.org/10.1117/12.2049874

KEYWORDS: Land mines, General packet radio service, Principal component analysis, Data modeling, Target detection, Sensors, Expectation maximization algorithms, Detection and tracking algorithms, Distortion, Dielectrics

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Showing 5 of 14 publications

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