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Learning improved pooling regions for the Histogram of Oriented Gradient (HOG) feature for buried threat detection in ground penetrating radar
Mapping Intimacies
◽
10.1117/12.2263108
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2017
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Author(s):
Daniël Reichman
◽
Leslie M. Collins
◽
Jordan M. Malof
Keyword(s):
Ground Penetrating Radar
◽
Threat Detection
◽
Histogram Of Oriented Gradient
◽
Ground Penetrating
Download Full-text
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Cited By
References
Improvements to the Histogram of Oriented Gradient (HOG) prescreener for buried threat detection in ground penetrating radar data
10.1117/12.2263107
◽
2017
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◽
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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
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2018
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Author(s):
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◽
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◽
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◽
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Convolutional Neural Network
◽
Ground Penetrating Radar
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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
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◽
Leslie M. Collins
◽
Peter A. Torrione
Keyword(s):
Target Detection
◽
Bayesian Approach
◽
Ground Penetrating Radar
◽
Radar Data
◽
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
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10.1109/igarss.2012.6350748
◽
2012
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◽
Kenneth D. Morton
◽
Rayn Sakaguchi
◽
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Keyword(s):
Ground Penetrating Radar
◽
Radar Data
◽
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
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Ground Penetrating Radar
◽
Learning Algorithms
◽
Radar Data
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Training Data
◽
Threat Detection
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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
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10.1117/12.2305880
◽
2018
◽
Cited By ~ 1
Author(s):
Daniël Reichman
◽
Leslie M. Collins
◽
Jordan M. Malof
Keyword(s):
Ground Penetrating Radar
◽
Radar Data
◽
Threat Detection
◽
Shape Information
◽
Ground Penetrating
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Buried threat detection using a handheld ground penetrating radar system
10.1117/12.2177812
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2015
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Author(s):
Mary Knox
◽
Peter Torrione
◽
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◽
Kenneth Morton
Keyword(s):
Ground Penetrating Radar
◽
Radar System
◽
Threat Detection
◽
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An exploration of gradient-based features for buried threat detection using a handheld ground penetrating radar
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV
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10.1117/12.2519949
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2019
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Author(s):
Evan Stump
◽
Daniël Reichman
◽
Leslie M. Collins
◽
Jordan M. Malof
Keyword(s):
Ground Penetrating Radar
◽
Threat Detection
◽
Gradient Based
◽
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
◽
Radar Data
◽
Threat Detection
◽
Ground Penetrating
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The effect of translational variance in training and testing images on supervised buried threat detection algorithms for ground penetrating radar
2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
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10.1109/iwagpr.2017.7996104
◽
2017
◽
Author(s):
Daniel Reichman
◽
Leslie M. Collins
◽
Jordan M. Malof
Keyword(s):
Ground Penetrating Radar
◽
Threat Detection
◽
Detection Algorithms
◽
Ground Penetrating
Download Full-text
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