Dr. James Alex Hurt Profile

Dr. James Alex Hurt

Assistant Research Professor at Univ of Missouri

Publications (8)

Proceedings Article | 7 June 2024 Presentation + Paper

Comparing visual co-registration methods for UAV and satellite RGB imagery with semantic filtering of key points

Trevor Bajkowski, J. Alex Hurt, Christopher Scully, James Keller, Samantha Carley, Grant Scott, Stanton Price

Proceedings Volume 13051, 1305106 (2024) https://doi.org/10.1117/12.3013504

KEYWORDS: Unmanned aerial vehicles, Satellites, Image segmentation, Image registration, Feature selection, Georeferencing, Feature extraction

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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 | 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 | 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

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 | 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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Showing 5 of 8 publications

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