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ORCIDJames Alex Hurt
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2020 – today
- 2024
[i1]J. Alex Hurt, Grant J. Scott, Derek Weitzel, Huijun Zhu:
Adventures with Grace Hopper AI Super Chip and the National Research Platform. CoRR abs/2410.16487 (2024)- 2023
- [j2]J. Alex Hurt, Ilinca M. Popescu, Curt H. Davis, Grant J. Scott:
Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery. Sensors 23(18): 7766 (2023) - [c21]Timothy B. Gaines, J. Alex Hurt, James M. Keller, Grant J. Scott, Camden I. Boyle, Matthew R. Maschmann, Stanton R. Price:
Towards Automated Nanoenergetic Reaction Characterization with Computational Vision. AIPR 2023: 1-5 - [c20]J. Alex Hurt, Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott:
Overhead Object Detection with Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features. AIPR 2023: 1-8 - [c19]Anes Ouadou, David Huangal, J. Alex Hurt, Grant J. Scott:
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models. IGARSS 2023: 6366-6369 - [c18]J. Alex Hurt, Curt H. Davis, Grant J. Scott:
Hybrid Differential Morphological Profile Enabled Faster R-Cnn For Object Detection In High-Resolution Remote Sensing Imagery. IGARSS 2023: 6446-6449 - 2022
- [c17]Trevor M. Bajkowski, J. Alex Hurt, Curt H. Davis, Grant J. Scott:
Classification of an 8-Band Multi-Spectral Dataset Using DCNNs with Weight Initializations Derived from Pre-Trained RGB Networks. IGARSS 2022: 187-190 - [c16]J. Alex Hurt, James Keller, Grant J. Scott:
Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN. IJCNN 2022: 1-9 - 2021
- [c15]Trevor M. Bajkowski, J. Alex Hurt, Jeffrey Dale, David Huangal, James M. Keller, Grant J. Scott, Stanton R. Price:
Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery. AIPR 2021: 1-6 - [c14]J. Alex Hurt, Trevor M. Bajkowski, Grant J. Scott:
Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network. IGARSS 2021: 2823-2826 - 2020
- [c13]Trevor M. Bajkowski, David Huangal, J. Alex Hurt, Jeffrey Dale, James M. Keller, Grant J. Scott, Stanton R. Price:
Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors. AIPR 2020: 1-13 - [c12]Jeffrey J. Dale, David Huangal, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, Stanton R. Price:
Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features. AIPR 2020: 1-9 - [c11]Trevor M. Bajkowski, Grant J. Scott, J. Alex Hurt, Curt H. Davis:
Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery. IEEE BigData 2020: 3895-3903 - [c10]J. Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott:
Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks. IEEE BigData 2020: 3914-3923 - [c9]Grant J. Scott, J. Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson, Curt H. Davis:
Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [c8]James Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott:
A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery. IEEE BigData 2019: 5419-5427 - [c7]Alan B. Cannaday II, Raymond L. Chastain, James Alex Hurt, Curt H. Davis, Grant J. Scott, Andrew J. Maltenfort:
Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets. IEEE BigData 2019: 5428-5436 - [c6]Alex Yang, James Alex Hurt, Charlie T. Veal, Grant J. Scott:
Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features. IEEE BigData 2019: 5453-5461 - [c5]Charlie T. Veal, Alex Yang, J. Alex Hurt, Muhammad Aminul Islam, Derek T. Anderson, Grant J. Scott, James M. Keller, Timothy C. Havens, Bo Tang:
Linear Order Statistic Neuron. FUZZ-IEEE 2019: 1-6 - [c4]James Alex Hurt, Grant J. Scott, Curt H. Davis:
Comparison of Deep Learning Model Performance between Meta-Dataset Training Versus Deep Neural Ensembles. IGARSS 2019: 1326-1329 - 2018
- [j1]Grant J. Scott
, Kyle C. Hagan, Richard A. Marcum, James Alex Hurt, Derek T. Anderson, Curt H. Davis:
Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets. IEEE Geosci. Remote. Sens. Lett. 15(9): 1451-1455 (2018) - [c3]James Alex Hurt, Grant J. Scott, Derek T. Anderson, Curt H. Davis:
Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics. AIPR 2018: 1-9 - [c2]Tyler W. Nivin, Grant J. Scott, James Alex Hurt, Raymond L. Chastain, Curt H. Davis:
Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset. AIPR 2018: 1-7 - [c1]Grant J. Scott, James Alex Hurt, Richard A. Marcum, Derek T. Anderson, Curt H. Davis:
Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery. IGARSS 2018: 665-668
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