Publications

Ouadou, Anes, Alshehri, Mariam, Hurt, J. Alex
"SegConFormer: A New Deep Learning Architecture for Semantic Segmentation of Burned Areas in Satellite Images"
IEEE Transactions on Geoscience and Remote Sensing (TGRS). Under Review.

Cheng, Keli, Hurt, J. Alex, Mzurikwao, Deogratias, Kabona, George Richard, Kasubi, Mabula, Mhiche, Ambakisye, Oswald, Will, Scott, Grant
"Using Geospatial AI for Large-Scale Automated Boma Mapping with Planet Earth Imagery"
International Geoscience and Remote Sensing Symposium (IGARSS). Under Review.

Huangal, David, Hurt, J. Alex
"Differential Morphological Profile Neural Networks for Semantic Segmentation"
arXiv preprint arXiv:2509.04268. 2025.
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Hurt, J. Alex, Bajkowski, Trevor M., Scott, Grant J., Davis, Curt H.
"Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets"
arXiv preprint arXiv:2508.02871. 2025.
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Ouadou, Anes, Huangal, David, Alshehri, Mariam, Scott, Grant, Hurt, J. Alex
"Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks"
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2025.
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Hurt, J. Alex, Ouadou, Anes, Alshehri, Mariam, Scott, Grant J.
"Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster"
arXiv. November 2024.
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Hurt, J. Alex, Scott, Grant J., Weitzel, Derek, Zhu, Huijun.
"Adventures with Grace Hopper AI Super Chip and the National Research Platform"
arXiv. October 2024.
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Bajkowski, Trevor, Hurt, J. Alex, Scully, Christopher, Keller, James, Carley, Samantha, Scott, Grant, Price, Stanton.
"Comparing Visual Co-registration Methods for UAV and Satellite RGB Imagery with Semantic Filtering of Key Points."
SPIE 2024: Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. May 2024.
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Galusha, Aquila, Keller, James M., Hurt, J. Alex, Teaney, Brian, Talbott, Marie, Scott, Grant J.
"Calibration for Multi-algorithm Fusion of Object Detection in MWIR and LWIR."
2024 Military Sensing Symposia. February 2024.

Hurt, J. Alex, Popescu, Ilinca, Davis, Curt H., Scott, Grant J.
"Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery"
Sensors 23, no. 18: 7766. 2023.
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Hurt, J. Alex, Bajkowski, Trevor, Scott, Grant J., Davis, Curt H.
"Overhead Object Detection with Channel Attention for High Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features."
2023 Applied Imagery and Pattern Recognition (AIPR). September 2023.
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Gaines, Timothy, Hurt, J. Alex, Boyle, Camden, Maschmann, Matthew, Keller, James, Scott, Grant J., Price, Stanton.
"Towards Automated Nanoenergetic Reaction Characterization with Computational Vision."
2023 Applied Imagery and Pattern Recognition (AIPR). September 2023.
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Hurt, J. Alex, Davis, Curt H., Scott, Grant J.
"Hybrid Differential Morphological Profile Enabled Faster R-CNN for Object Detection in High-Resolution Remote Sensing Imagery."
2023 International Geoscience and Remote Sensing Symposium. July 2023.
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Ouadou, Anes, Huangal, David, Hurt, J. Alex, Scott, Grant J.
"Semantic Segmentation Of Burned Areas in Sentinel-2 Satellite Images using Deep Learning Models."
2023 International Geoscience and Remote Sensing Symposium. July 2023.
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Bajkowski, Trevor, Hurt, J. Alex, Dale, Jeffrey, Keller, James, Scott, Grant J., Price, Stanton.
"Comparing hand-crafted and learned key-point feature extraction for co-location of sequential low-altitude UAS video frames."
SPIE 2023: Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. May 2023.
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Gaines, Timothy, Boyle, Camden, Hurt, J. Alex, Maschmann, Matthew R., Keller, James M., Scott, Grant J., Price, Stanton R.
"Towards Automatic Characterization of Nano-Energetic Material Response to Directed Energy."
SPIE 2023: Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. May 2023.
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Galusha, Aquila, Keller, James M., Hurt, J. Alex, Alvey, Brendan, Talbott, Marie, Scott, Grant J.
"Multi-modality, Multi-algorithm Fusion for Object Detection in MWIR and LWIR."
2023 Military Sensing Symposia. February 2023.

Hurt, J. Alex, Keller, James, Scott, Grant J.
"Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN"
2022 IEEE World Congress on Computational Intelligence. July 2022.
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Bajkowski, Trevor, Hurt, J. Alex, Davis, Curt H, Scott, Grant J.
"Classification of an 8-band Multi-Spectral Dataset using DCNNs with Weight Initializations derived from pre-trained RGB Networks"
2022 International Geoscience and Remote Sensing Symposium. July 2022.
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Bajkowski, Trevor M., Hurt, J. Alex, Huangal, David, Dale, Jeffery, Keller, James, Scott, Grant J., Price, Stanton R.
"Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery."
2021 Applied Imagery Pattern Recognition Workshop October 2021.
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Hurt, J. Alex, Bajkowski, Trevor, Scott, Grant J.
"Improved classification of high resolution remote sensing imagery with Differential Morphological Profile Neural Network."
2021 International Geoscience and Remote Sensing Symposium. July 2021.
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Hurt, J. Alex, Scott, Grant J., Huangal, David, Dale, Jeffery, Bajkowski, Trevor M., Keller, James, Price, Stanton R.
"Differential Morphological Profile Neural Network for Maneuverability Hazard Detection in Unmanned Aerial System Imagery."
Proc. SPIE 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III April 2021.
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Bajkowski, Trevor M., Hurt, J. Alex, Huangal, David, Dale, Jeffery, Keller, James, Scott, Grant J., Price, Stanton R.
"Accumulating confidence for deep neural network object detections and semantic segmentations in sequential UAS imagery through spatiotemporal feature correspondences generated from SfM techniques."
Proc. SPIE 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III April 2021.
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Dale, Jeffery, Bajkowski, Trevor M., Hurt, J. Alex, Huangal, David, Earle, Nelson, Keller, James, Scott, Grant J., Price, Stanton R.
"Towards an explainable AI adjunct to deep network obstacle detection for multisensor vehicle maneuverability assessment."
Proc. SPIE 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III April 2021.
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Hurt, J. Alex, Huangal, David, Davis, Curt H., Scott, Grant J.
"Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks."
IEEE Big Data 2020. December 2020.
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Bajkowski, Trevor M., Hurt, J. Alex, Scott, Grant J., Davis, Curt H.
"Extending Deep Convolutional Neural Networks from 3-color to Full Multispectral Remote Sensing Imagery."
IEEE Big Data 2020. December 2020.
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Bajkowski, Trevor M., Huangal, David, Hurt, J. Alex, Dale, Jeffrey J., Keller, James, Scott, Grant J., Price, Stanton.
"Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors."
2020 Applied Imagery Pattern Recognition Workshop. October 2020.
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Scott, Grant J., Hurt, J. Alex, Yang, Alex, Islam, Muhammad Aminul, Anderson, Derek T., Davis, Curt H.
"Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery."
2020 International Joint Conference on Neural Networks (IJCNN). July 2020.
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Hurt, J. Alex, Huangal, David, Dale, Jeffery, Bajkowski, Trevor, Keller, James, Scott, Grant J., Price, Stanton.
"Maneuverability hazard detection and localization in low-altitude UAS imagery."
Proc. SPIE 11413, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II. April 2020.
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Huangal, David, Dale, Jeffery, Hurt, J. Alex, Bajkowski, Trevor, Keller, James, Scott, Grant J., Price, Stanton.
"Evaluating deep road segmentation techniques for low-altitude UAS imagery."
Proc. SPIE 11413, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II. April 2020.
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Hurt, J. Alex, Huangal, David, Davis, Curt H., Scott, Grant J.
"A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery."
IEEE Big Data 2019. December 2019.
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Cannaday, Alan B., Chastain, Raymond L., Hurt, J. Alex, Davis, Curt H., Scott, Grant J., Maltenford, A.J.
"Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets."
IEEE Big Data 2019. December 2019.
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Yang, Alex, Hurt, J. Alex, Veal, Charlie T., Scott, Grant J.
"Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features."
IEEE Big Data 2019. December 2019.
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Hurt, J. Alex, Scott, Grant J., Davis, Curt H.
"Comparison of Deep Learning Model Performance Between Meta-Dataset Training Versus Deep Neural Ensembles."
2019 International Geoscience and Remote Sensing Symposium. July 2019.
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Veal, Charlie, Yang, Alex, Hurt, J. Alex, Islam, Muhammad Aminul, Anderson, Derek T, Scott, Grant J., Havens, Timothy C., Keller, James M., Tang, Bo.
"Linear Order Statistic Neuron."
2019 IEEE International Conference on Fuzzy Systems. June 2019.
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Hurt, J. Alex, Scott, Grant J., Anderson, Derek T., Davis, Curt H.
"Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics."
2018 Applied Imagery Pattern Recognition Workshop. October 2018.
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Nivin, Tyler W., Scott, Grant J., Hurt, J. Alex, Chastain, Raymond L., Davis, Curt H.
"Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset."
2018 Applied Imagery Pattern Recognition Workshop. October 2018.
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Scott, Grant J., Hurt, J. Alex, Marcum, Richard A., Anderson, Derek T., Davis, Curt H.
"Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery."
2018 International Geoscience and Remote Sensing Symposium. July 2018.
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Scott, Grant J., Hagan, Kyle C., Marcum, Richard A., Hurt, J. Alex, Anderson, Derek T., Davis, Curt H.
"Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Datasets."
IEEE Transactions on Geoscience and Remote Sensing. June 2018.
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