Prof. James M. Keller Profile

Prof. James M. Keller

Curators Distinguished Professor Emeritus at Univ of Missouri

SPIE Involvement:

Author

Publications (94)

Proceedings Article | 16 June 2023 Presentation + Paper

Simulated gold-standard for quantitative evaluation of monocular vision algorithms

Jack Akers, Andrew Buck, Raub Camaioni, Derek Anderson, Robert Luke, James Keller, Matthew Deardorff, Brendan Alvey

Proceedings Volume 12525, 125250A (2023) https://doi.org/10.1117/12.2657567

KEYWORDS: Voxels, RGB color model, Cameras, Computer simulations, Unmanned aerial vehicles, Robotics, Motion estimation, Sensors, Reconstruction algorithms, Image analysis

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Proceedings Article | 15 June 2023 Presentation + Paper

Towards automatic characterization of nano-energetic material response to directed energy

Timothy Gaines, Camden Boyle, J. Alex Hurt, Matthew Maschmann, James Keller, Grant Scott, Stanton Price

Proceedings Volume 12513, 1251304 (2023) https://doi.org/10.1117/12.2663877

KEYWORDS: Sintering, Performance modeling, Random forests, Particles, Feature extraction, Image processing, Nanoparticles, Aluminum, Image classification

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Proceedings Article | 12 June 2023 Presentation + Paper

Comparing hand-crafted and learned key-point feature extraction for co-location of sequential low-altitude UAS video frames

Trevor Bajkowski, J. Alex Hurt, Jeffrey Dale, James Keller, Grant Scott, Stanton Price

Proceedings Volume 12538, 1253817 (2023) https://doi.org/10.1117/12.2663586

KEYWORDS: Feature extraction, Video, Machine learning, Image processing, Detection and tracking algorithms, Computation time, Sensors

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Proceedings Article | 30 May 2022 Presentation + Paper

Explosive hazard pre-screener based on simulated data with perfect annotation and imprecisely labeled real data

Madeline Kovaleski, Aaron Fuller, Jeffrey Kerley, Brendan Alvey, Peter Popescu, Derek Anderson, Andrew Buck, James Keller, Grant Scott, Clare Yang, Ken Yasuda, Hollie Ryan

Proceedings Volume 12116, 121160X (2022) https://doi.org/10.1117/12.2618792

KEYWORDS: Computer simulations, Data modeling, Unmanned aerial vehicles, Image segmentation, RGB color model, Explosives, Visualization, Machine learning, 3D modeling, Video

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Proceedings Article | 30 May 2022 Presentation + Paper

Procedurally generated simulated datasets for aerial explosive hazard detection

Jeffrey Kerley, Aaron Fuller, Madeline Kovaleski, Peter Popescu, Brendan Alvey, Derek Anderson, Andrew Buck, James Keller, Grant Scott, Clare Yang, Ken Yasuda, Hollie Ryan

Proceedings Volume 12116, 1211611 (2022) https://doi.org/10.1117/12.2618798

KEYWORDS: Data modeling, Cameras, RGB color model, 3D modeling, Remote sensing, Performance modeling, Explosives, Electro optical modeling, Video, Image segmentation

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Proceedings Article | 27 May 2022 Presentation + Paper

Unreal engine-based photorealistic aerial data generation and unit testing of artificial intelligence algorithms

Andrew Buck, Raub Camaioni, Brendan Alvey, Derek Anderson, James Keller, Robert Luke, Grant Scott

Proceedings Volume 12099, 1209908 (2022) https://doi.org/10.1117/12.2618812

KEYWORDS: Unmanned aerial vehicles, Evolutionary algorithms, Computer simulations, Artificial intelligence, Reconstruction algorithms, Image segmentation, Algorithm development, Device simulation

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Proceedings Article | 12 April 2021 Presentation + Paper

Differential morphological profile neural network for maneuverability hazard detection in unmanned aerial system imagery

J. Alex Hurt, Grant Scott, David Huangal, Jeffrey Dale, Trevor Bajkowski, James Keller, Stanton Price

Proceedings Volume 11746, 1174629 (2021) https://doi.org/10.1117/12.2585843

KEYWORDS: Neural networks, Visualization, Sensors, Machine vision, Information operations, Digital image processing, Convolutional neural networks, Computer vision technology

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Proceedings Article | 12 April 2021 Presentation + Paper

Human-in-the-loop extension to stream classification for labeling of low altitude drone imagery

Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Grant Scott, Robert Luke

Proceedings Volume 11748, 117480J (2021) https://doi.org/10.1117/12.2585851

KEYWORDS: Artificial intelligence, Evolutionary algorithms, Machine learning, Information fusion, Data fusion

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Proceedings Article | 12 April 2021 Poster + Presentation + Paper

Towards an explainable AI adjunct to deep network obstacle detection for multisensor vehicle maneuverability assessment

Jeffrey Dale, Trevor Bajkowski, J. Alex Hurt, David Huangal, Nelson Earle, James Keller, Grant Scott, Stanton Price

Proceedings Volume 11746, 117462H (2021) https://doi.org/10.1117/12.2585906

KEYWORDS: Sensors, Optical sensors, Infrared sensors, Remote sensing, LIDAR, Infrared radiation, Infrared imaging, Visualization, Machine learning, Infrared cameras

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Proceedings Article | 12 April 2021 Presentation + Paper

VADER: a hardware and simulation platform for visually aware drone autonomy research

Andrew Buck, Matthew Deardorff, Derek Anderson, Timothy Wilkin, James Keller, Grant Scott, Robert Luke, Raub Camaioni

Proceedings Volume 11758, 117580H (2021) https://doi.org/10.1117/12.2586360

KEYWORDS: Visualization, Unmanned aerial vehicles, Reconnaissance, Remote sensing, Prototyping, Open source software, Eye, Commercial off the shelf technology

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Proceedings Article | 12 April 2021 Presentation + Paper

Improving explosive hazard detection with simulated and augmented data for an unmanned aerial system

Brendan Alvey, Derek Anderson, James Keller, Andrew Buck, Grant Scott, Dominic Ho, Clare Yang, Brad Libbey

Proceedings Volume 11750, 117500B (2021) https://doi.org/10.1117/12.2586342

KEYWORDS: Explosives detection, Explosives, Environmental sensing, Machine learning, Sensors, Physics, Opacity, Infrared radiation, Infrared imaging, Fuzzy logic

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Proceedings Article | 12 April 2021 Presentation + Paper

Concept learning based on human interaction and explainable AI

Blake Ruprecht, Derek Anderson, Fred Petry, James Keller, Christopher Michael, Andrew Buck, Grant Scott, Curt Davis

Proceedings Volume 11735, 117350I (2021) https://doi.org/10.1117/12.2587950

KEYWORDS: Artificial intelligence, Sensors, Neural networks

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Proceedings Article | 12 April 2021 Presentation + Paper

Metadata enabled contextual sensor fusion for unmanned aerial system-based explosive hazard detection

Matthew Deardorff, Brendan Alvey, Derek Anderson, James Keller, Grant Scott, Dominic Ho, Andrew Buck, Clare Yang, Brad Libbey

Proceedings Volume 11750, 117500C (2021) https://doi.org/10.1117/12.2586340

KEYWORDS: Explosives detection, Explosives, Sensor fusion, Electro optical modeling, Sensors, Machine learning, Physics, Intelligent sensors, Infrared sensors, Glasses

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Numerous real-world applications require the intelligent combining of disparate information streams from sensors to create a more complete and enhanced observation in support of underlying tasks like classification, regression, or decision making. An often overlooked and underappreciated part of fusion is context. Herein, we focus on two contextual fusion challenges, incomplete (limited knowledge) models and metadata. Examples of metadata available to unmanned aerial systems (UAS) include time of day, platform/sensor position, etc., all of which have a potentially drastic impact on sensor measurements and subsequently our decisions derived from them. Additionally, incomplete models limit machine learning, specifically under-sampling of training data. To address these challenges, we investigate contextually adaptive online Choquet integration. First, we cluster and partition the training metadata. Second, a single machine learning model is trained per partition. Third, a Choquet integral is learned for the combination of these models per partition. Fourth, at test/run time we compute the degree of typicality of a new sample to our known contexts. Fifth, our trained integrals are decomposed into a bag of underlying aggregation operators and a new contextually relevant operator is imputed using a combination of the metadata clustering and observation statistics of the integral variables. This process enables machine learning model selection, ensemble fusion, and metadata outlier detection, with subsequent mitigation strategy identification or decision suppression. The above ideas are demonstrated on explosive hazard detection using surrogate data simulated by the Unreal Engine. In particular, the Unreal Engine is used because it provides us with flexibility to explore the proposed ideas across a range of diverse and controlled experiments. Our preliminary results show improved performance for fusion in different contexts and a sensitivity analysis is performed with respect to metadata degradation.

Proceedings Article | 12 April 2021 Poster + Presentation + Paper

Accumulating confidence for deep neural network object detections and semantic segmentations in sequential UAS imagery through spatiotemporal feature correspondences generated from SfM techniques

Trevor Bajkowski, J. Alex Hurt, David Huangal, Jeffrey Dale, James Keller, Grant Scott, Stanton Price

Proceedings Volume 11746, 117462V (2021) https://doi.org/10.1117/12.2585905

KEYWORDS: Image segmentation, Neural networks, Atomic force microscopy, Machine vision, Computer vision technology, Classification systems, Scene classification, Image fusion, Image classification, Evolutionary algorithms

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Proceedings Article | 24 April 2020 Presentation + Paper

Extending deep learning to new classes without retraining

Jeffrey Schulz, Charlie Veal, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic K. C. Ho, Timothy Wilkin

Proceedings Volume 11418, 1141803 (2020) https://doi.org/10.1117/12.2558134

KEYWORDS: Principal component analysis, Visualization, Matrices, Automatic target recognition, Feature extraction, Animal model studies, Explosives, Explosives detection, Data modeling, Artificial intelligence

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Proceedings Article | 24 April 2020 Presentation + Paper

Doing more with less: similarity neural nets and metrics for small class imbalanced data sets

Charlie Veal, Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic Ho, Timothy Wilkin

Proceedings Volume 11418, 1141802 (2020) https://doi.org/10.1117/12.2558092

KEYWORDS: Data modeling, Prototyping, Visualization, Neural networks, Feature extraction, Statistical modeling, Performance modeling, Visual process modeling, Binary data, Image resolution

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Proceedings Article | 22 April 2020 Presentation + Paper

Neuro-fuzzy logic for parts-based reasoning about complex scenes in remotely sensed data

Blake Ruprecht, Charlie Veal, Al Cannaday, Derek Anderson, Fred Petry, James Keller, Grant Scott, Curt Davis, Charles Norsworthy, Paul Elmore, Kristen Nock, Elizabeth Gilmour

Proceedings Volume 11423, 114230H (2020) https://doi.org/10.1117/12.2558094

KEYWORDS: Logic, Fuzzy systems, Fuzzy logic, Sensors, Remote sensing, Artificial intelligence, Data modeling, Satellite imaging, Earth observing sensors, Satellites

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Proceedings Article | 21 April 2020 Presentation + Paper

Evaluating deep road segmentation techniques for low-altitude UAS imagery

David Huangal, Jeffrey Dale, J. Alex Hurt, Trevor Bajkowski, James Keller, Grant Scott, Stanton Price

Proceedings Volume 11413, 114131L (2020) https://doi.org/10.1117/12.2557610

KEYWORDS: Image segmentation, Roads, Network architectures, Visualization, Neural networks, Performance modeling, Situational awareness sensors

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Proceedings Article | 21 April 2020 Presentation + Paper

Maneuverability hazard detection and localization in low-altitude UAS imagery

J. Alex Hurt, David Huangal, Jeffrey Dale, Trevor Bajkowski, James Keller, Grant Scott, Stanton Price

Proceedings Volume 11413, 114131K (2020) https://doi.org/10.1117/12.2557609

KEYWORDS: Detection and tracking algorithms, Performance modeling, Roads, Sensors, Visualization, Visual process modeling, Machine vision, Computer vision technology, Remote sensing

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Proceedings Article | 10 May 2019 Presentation + Paper

Deep convolutional neural network target classification for underwater synthetic aperture sonar imagery

A. Galusha, J. Dale, J. Keller, A. Zare

Proceedings Volume 11012, 1101205 (2019) https://doi.org/10.1117/12.2519521

KEYWORDS: Sensors, Fuzzy logic, Convolutional neural networks, Image classification, Detection and tracking algorithms, Target detection, Network architectures, Data fusion, Explosives

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Proceedings Article | 10 May 2019 Presentation + Paper

Evaluation of image features for discriminating targets from false positives in synthetic aperture sonar imagery

Jeffrey Dale, Aquila Galusha, James Keller, Alina Zare

Proceedings Volume 11012, 110120A (2019) https://doi.org/10.1117/12.2519486

KEYWORDS: Feature extraction, Image analysis, Target detection

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Proceedings Article | 10 May 2019 Presentation + Paper

Comparison of possibilistic fuzzy local information C-means and possibilistic K-nearest neighbors for synthetic aperture sonar image segmentation

Joshua Peeples, Matthew Cook, Daniel Suen, Alina Zare, James Keller

Proceedings Volume 11012, 110120T (2019) https://doi.org/10.1117/12.2519484

KEYWORDS: Image segmentation, Fuzzy logic, Image processing algorithms and systems, Data centers, Automatic target recognition, Image resolution, Environmental sensing, Detection and tracking algorithms, Land mines, Machine learning

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Proceedings Article | 30 April 2018 Paper

A fast target detection algorithm for underwater synthetic aperture sonar imagery

A. Galusha, G. Galusha, J. Keller, A. Zare

Proceedings Volume 10628, 106280Z (2018) https://doi.org/10.1117/12.2304976

KEYWORDS: Sensors, Target detection, Fuzzy logic, Detection and tracking algorithms, Data fusion, Image fusion, MATLAB

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Proceedings Article | 30 April 2018 Paper

Fractal analysis of seafloor textures for target detection in synthetic aperture sonar imagery

T. Nabelek, J. Keller, A. Galusha, A. Zare

Proceedings Volume 10628, 1062810 (2018) https://doi.org/10.1117/12.2305023

KEYWORDS: Fractal analysis, Target detection, Image segmentation, Image classification, Feature extraction, Image resolution, Library classification systems, Object recognition, Visualization, Submerged target detection

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Proceedings Article | 30 April 2018 Paper

Comparison of prescreening algorithms for target detection in synthetic aperture sonar imagery

Princess Lyons, Daniel Suen, Aquila Galusha, Alina Zare, James Keller

Proceedings Volume 10628, 1062811 (2018) https://doi.org/10.1117/12.2305175

KEYWORDS: Target detection, Sensors, Detection and tracking algorithms, Submerged target detection, Submerged target modeling, Imaging systems, Image filtering

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Proceedings Article | 30 April 2018 Paper

Possibilistic fuzzy local information C-means with automated feature selection for seafloor segmentation

Joshua Peeples, Daniel Suen, Alina Zare, James Keller

Proceedings Volume 10628, 1062812 (2018) https://doi.org/10.1117/12.2305178

KEYWORDS: Image segmentation, Feature selection, Fuzzy logic, Image processing algorithms and systems, Image processing, Feature extraction, Detection and tracking algorithms, Visualization, Binary data, Gaussian filters

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Proceedings Article | 30 April 2018 Paper

Detecting explosive hazards in 3D radar imaging through clustering and sequential learning

Q. LaRoe, M. Popescu, J. Keller

Proceedings Volume 10628, 1062817 (2018) https://doi.org/10.1117/12.2304552

KEYWORDS: Feature extraction, Radar, Explosives, 3D image processing, Detection and tracking algorithms, 3D modeling, Explosives detection, Radar imaging, Fuzzy logic, Data modeling

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Proceedings Article | 30 April 2018 Paper

Analyzing three dimensional radar voxel data using the discrete Fourier transform for SAEH detection

P. Plodpradista, D. K. Ho, J. Keller, M. Popescu, A. Buck

Proceedings Volume 10628, 1062814 (2018) https://doi.org/10.1117/12.2304380

KEYWORDS: Fourier transforms, Radar, Feature extraction, Data modeling, Explosives, 3D image processing, Explosives detection, Sensors, Data processing

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Proceedings Article | 3 May 2017 Presentation + Paper

Tuning log Gabor filter bank using genetic algorithm based optimization

P. Plodpradista, J. Keller, D. K. Ho, M. Popescu

Proceedings Volume 10182, 101821C (2017) https://doi.org/10.1117/12.2262615

KEYWORDS: Image filtering, Filtering (signal processing), Radar, Image processing, Explosives, Electronic filtering, Genetic algorithms, Optimization (mathematics), Explosives detection, Target detection, Ground penetrating radar, Sensors, Roads, Vegetation

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Proceedings Article | 3 May 2017 Presentation + Paper

Target detection in high-resolution 3D radar imagery

A. Buck, J. Keller, M. Popescu, D. Sheen, R. Luke

Proceedings Volume 10182, 101821G (2017) https://doi.org/10.1117/12.2262633

KEYWORDS: 3D acquisition, 3D image processing, Target detection, Radar, Imaging systems, Radar imaging, Explosives, Image processing, Detection and tracking algorithms, Image filtering, Sensors, Algorithm development

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Proceedings Article | 3 May 2017 Presentation + Paper

A new approach for extracting texture features to aid detection of explosive hazards using synthetic aperture acoustic sensing

E. Brewster, J. Keller, M. Popescu

Proceedings Volume 10182, 101821F (2017) https://doi.org/10.1117/12.2262621

KEYWORDS: Binary data, Feature extraction, Explosives, Sensors, Distance measurement, Acoustics, Image filtering, Explosives detection, Computer programming, Detection and tracking algorithms

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Proceedings Article | 3 May 2016 Paper

Road detection in arid environments using uniformly distributed random based features

P. Plodpradista, J. Keller, M. Popescu

Proceedings Volume 9823, 982315 (2016) https://doi.org/10.1117/12.2224080

KEYWORDS: Roads, Principal component analysis, Environmental sensing, Explosives, Explosives detection, Image segmentation, Detection and tracking algorithms, Feature extraction, Remote sensing, Computing systems

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Proceedings Article | 3 May 2016 Paper

Multiple kernel based feature and decision level fusion of iECO individuals for explosive hazard detection in FLIR imagery

Stanton Price, Bryce Murray, Lequn Hu, Derek Anderson, Timothy Havens, Robert Luke, James Keller

Proceedings Volume 9823, 98231G (2016) https://doi.org/10.1117/12.2223297

KEYWORDS: Explosives, Explosives detection, Forward looking infrared, Image fusion, Infrared imaging, Sensors, Matrices, Infrared sensors, Metals, Infrared detectors

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Proceedings Article | 3 May 2016 Paper

Sequential feature selection for detecting buried objects using forward looking ground penetrating radar

Darren Shaw, Kevin Stone, K. C. Ho, James Keller, Robert Luke, Brian Burns

Proceedings Volume 9823, 98231L (2016) https://doi.org/10.1117/12.2224272

KEYWORDS: Feature extraction, Feature selection, Ground penetrating radar, Target detection, Radar, Image filtering, Polarization, Binary data, Metals, X band

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Proceedings Article | 3 May 2016 Paper

Improving the detection of explosive hazards with LIDAR-based ground plane estimation

A. Buck, J. Keller, M. Popescu

Proceedings Volume 9823, 982313 (2016) https://doi.org/10.1117/12.2224101

KEYWORDS: Roads, Explosives detection, Explosives, LIDAR, Clouds, 3D modeling, Sensors, Image filtering, Raster graphics, Target detection

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Proceedings Article | 3 May 2016 Paper

Explosive hazard detection using synthetic aperture acoustic sensing

E. Brewster, J. Keller, K. Stone, M. Popescu

Proceedings Volume 9823, 98231Q (2016) https://doi.org/10.1117/12.2224084

KEYWORDS: Explosives, Acoustics, Explosives detection, Roads, Sensors, Feature extraction, Neodymium, Local area networks, Target detection, Molybdenum

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Proceedings Article | 3 May 2016 Paper

Comparison of spatial frequency domain features for the detection of side attack explosive ballistics in synthetic aperture acoustics

Josh Dowdy, Derek Anderson, Robert Luke, John Ball, James Keller, Timothy Havens

Proceedings Volume 9823, 98231R (2016) https://doi.org/10.1117/12.2223298

KEYWORDS: Acoustics, Sensors, Explosives, Infrared sensors, Infrared imaging, Feature extraction, Receivers, Infrared cameras, Computer engineering, Infrared radiation

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Proceedings Article | 15 May 2015 Paper

Explosive hazard detection using MIMO forward-looking ground penetrating radar

Darren Shaw, K. Ho, Kevin Stone, James Keller, Mihail Popescu, Derek Anderson, Robert Luke, Brian Burns

Proceedings Volume 9454, 94540Z (2015) https://doi.org/10.1117/12.2177468

KEYWORDS: Polarization, Image filtering, Feature extraction, Metals, Explosives, Target detection, Explosives detection, Radar, Ground penetrating radar, Nonmetals

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Proceedings Article | 14 May 2015 Paper

An application of log-Gabor filter on road detection in arid environments for forward looking buried object detection

P. Plodpradista, J. Keller, M. Popescu

Proceedings Volume 9454, 94540R (2015) https://doi.org/10.1117/12.2177943

KEYWORDS: Roads, Image filtering, Image processing, Detection and tracking algorithms, Optical filters, Filtering (signal processing), Cameras, Explosives detection, Environmental sensing, Electronic filtering

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Proceedings Article | 14 May 2015 Paper

Multi-scale HOG prescreening algorithm for detection of buried explosive hazards in FL-IR and FL-GPR data

K. Stone, J. Keller, D. Shaw

Proceedings Volume 9454, 94540Q (2015) https://doi.org/10.1117/12.2177663

KEYWORDS: Detection and tracking algorithms, Cameras, Target detection, Sensors, Image filtering, Digital filtering, Polarization, Neodymium, Driver's vision enhancers, Gaussian filters

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Proceedings Article | 14 May 2015 Paper

Design of a buried explosive hazard pre-screener in forward looking imagery based on shearlet filtering and image post-processing

Stanton Price, Derek Anderson, James Keller

Proceedings Volume 9454, 94540M (2015) https://doi.org/10.1117/12.2177461

KEYWORDS: Image filtering, Sensors, Explosives, Cameras, Target detection, Explosives detection, Roads, Forward looking infrared, Image processing, Electronic filtering

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Proceedings Article | 9 June 2014 Paper

A method of evolving novel feature extraction algorithms for detecting buried objects in FLIR imagery using genetic programming

A. Paino, J. Keller, M. Popescu, K. Stone

Proceedings Volume 9072, 907218 (2014) https://doi.org/10.1117/12.2049950

KEYWORDS: Feature extraction, Forward looking infrared, Genetics, Computer programming, Image filtering, Target detection, Cameras, Infrared imaging, Computing systems, Binary data

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Proceedings Article | 29 May 2014 Paper

Road recognition in poor quality environments for forward looking buried object detection

P. Plodpradista, J. Keller, M. Popescu

Proceedings Volume 9072, 90721A (2014) https://doi.org/10.1117/12.2049961

KEYWORDS: Roads, Detection and tracking algorithms, Cameras, Image fusion, Environmental sensing, RGB color model, Video, Feature extraction, Molybdenum, Image processing

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Proceedings Article | 29 May 2014 Paper

Convolutional neural network approach for buried target recognition in FL-LWIR imagery

K. Stone, J. Keller

Proceedings Volume 9072, 907219 (2014) https://doi.org/10.1117/12.2049958

KEYWORDS: Neurons, Driver's vision enhancers, Cameras, Convolution, Neodymium, Detection and tracking algorithms, Image filtering, Feature extraction, Target detection, Convolutional neural networks

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Proceedings Article | 29 May 2014 Paper

Investigation of context, soft spatial, and spatial frequency domain features for buried explosive hazard detection in FL-LWIR

Stanton Price, Derek Anderson, Kevin Stone, James Keller

Proceedings Volume 9072, 907217 (2014) https://doi.org/10.1117/12.2049937

KEYWORDS: Feature extraction, Explosives, Explosives detection, Image filtering, Target detection, Sensors, Cameras, Machine vision, Computer vision technology, Long wavelength infrared

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Proceedings Article | 7 June 2013 Paper

Using evolutionary computation to optimize an SVM used in detecting buried objects in FLIR imagery

Alex Paino, Mihail Popescu, James Keller, Kevin Stone

Proceedings Volume 8709, 87091A (2013) https://doi.org/10.1117/12.2014774

KEYWORDS: Evolutionary algorithms, Detection and tracking algorithms, Sensors, Target detection, Forward looking infrared, Binary data, Infrared sensors, Cameras, Infrared imaging, Infrared detectors

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Proceedings Article | 7 June 2013 Paper

Buried target detection in FLIR images using Shearlet features

Brian Tuomanen, Kevin Stone, Timothy Madison, Mihail Popescu, James Keller

Proceedings Volume 8709, 870919 (2013) https://doi.org/10.1117/12.2014773

KEYWORDS: Target detection, Cameras, Infrared imaging, Wavelets, Long wavelength infrared, Forward looking infrared, Infrared cameras, Driver's vision enhancers, Image filtering, Infrared signatures

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Proceedings Article | 7 June 2013 Paper

Moving beyond flat earth: dense 3D scene reconstruction from a single FL-LWIR camera

K. Stone, J. Keller, D. Anderson

Proceedings Volume 8709, 87091C (2013) https://doi.org/10.1117/12.2014967

KEYWORDS: Cameras, 3D modeling, Image processing, 3D image processing, Driver's vision enhancers, Long wavelength infrared, Matrices, Imaging systems, Explosives, Sensors

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Proceedings Article | 7 June 2013 Paper

Automatic detection system for buried explosive hazards in FL-LWIR based on soft feature extraction using a bank of Gabor energy filters

Stanton Price, Derek Anderson, Robert Luke, Kevin Stone, James Keller

Proceedings Volume 8709, 87091B (2013) https://doi.org/10.1117/12.2014781

KEYWORDS: Feature extraction, Target detection, Explosives, Sensors, Long wavelength infrared, Cameras, Detection and tracking algorithms, Image filtering, Infrared imaging, Infrared radiation

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Proceedings Article | 18 May 2012 Paper

Multiple kernel learning for explosive hazard detection in forward-looking ground-penetrating radar

Timothy Havens, Kevin Stone, Derek Anderson, James Keller, K. Ho, Tuan Ton, David Wong, Mehrdad Soumekh

Proceedings Volume 8357, 83571D (2012) https://doi.org/10.1117/12.920482

KEYWORDS: Explosives, Image filtering, Explosives detection, Matrices, Imaging systems, Ground penetrating radar, Binary data, Sensors, Detection and tracking algorithms, Infrared cameras

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Proceedings Article | 11 May 2012 Paper

Evaluation and improvement of spectral features for the detection of buried explosive hazards using forward-looking ground-penetrating radar

Justin Farrell, Timothy Havens, K. Ho, James Keller, Tuan Ton, David Wong, Mehrdad Soumekh

Proceedings Volume 8357, 83571C (2012) https://doi.org/10.1117/12.918779

KEYWORDS: Explosives, Metals, Target detection, Explosives detection, Feature extraction, Radar, Image filtering, Ground penetrating radar, Sensors, Signal detection

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Proceedings Article | 11 May 2012 Paper

An automatic detection system for buried explosive hazards in FL-LWIR and FL-GPR data

K. Stone, J. Keller, D. Anderson, D. Barclay

Proceedings Volume 8357, 83571E (2012) https://doi.org/10.1117/12.920288

KEYWORDS: Detection and tracking algorithms, Sensors, Metals, Image classification, Picosecond phenomena, Explosives, Long wavelength infrared, Image segmentation, Target detection, Feature extraction

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Proceedings Article | 11 May 2012 Paper

Anomaly detection ensemble fusion for buried explosive material detection in forward looking infrared imaging for addressing diurnal temperature variation

Derek Anderson, Kevin Stone, James Keller, John Rose

Proceedings Volume 8357, 83570T (2012) https://doi.org/10.1117/12.920346

KEYWORDS: Sensors, Target detection, Long wavelength infrared, Detection and tracking algorithms, Explosives, Explosives detection, Roads, Infrared imaging, Thermography, Cameras

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