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James Alex Hurt

Observed names: Alex Hurt, Hurt J. Alex, Hurt, Alex, Hurt, J. Alex, J. Alex Hurt, James A. Hurt
ORCID: 0000-0002-7234-1301
Observed ORCID: 0000-0002-7234-1301
OpenAlex ID: A5009311723
Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets
2018 · Grant J. Scott, Kyle C. Hagan, et al. · IEEE Geoscience and Remote Sensing Letters · 82
Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics
2018 · J. Alex Hurt, Grant J. Scott, et al. · IEEE Applied Imagery Pattern Recognition Workshop · 16
Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery
2018 · Grant J. Scott, J. Alex Hurt, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 10
Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery
2020 · Grant J. Scott, J. Alex Hurt, et al. · International Joint Conference on Neural Networks (IJCNN) · 8
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models
2023 · Anes Ouadou, David Huangal, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 7
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks
2025 · Anes Ouadou, David Huangal, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 6
Comparing hand-crafted and learned key-point feature extraction for co-location of sequential low-altitude UAS video frames
2023 · Trevor M. Bajkowski, J. Alex Hurt, et al. · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications · 6
Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features
2019 · Alex Yang, J. Alex Hurt, et al. · IEEE International Conference on Big Data (BigData) · 6
Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset
2018 · Tyler W. Nivin, Grant J. Scott, et al. · IEEE Applied Imagery Pattern Recognition Workshop · 6
Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network
2021 · J. Alex Hurt, Trevor Bajkowski, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 5
Differential morphological profile neural network for maneuverability hazard detection in unmanned aerial system imagery
2021 · James Alex Hurt, Grant Scott, et al. · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications · 5
Comparison of Deep Learning Model Performance between Meta-Dataset Training Versus Deep Neural Ensembles
2019 · J. Alex Hurt, Grant J. Scott, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 5
Linear Order Statistic Neuron
2019 · Charlie Veal, Alex Yang, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · 5
Classification of an 8-Band Multi-Spectral Dataset Using DCNNs with Weight Initializations Derived from Pre-Trained RGB Networks
2022 · Trevor M. Bajkowski, J. Alex Hurt, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 4
Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks
2020 · J. Alex Hurt, David Huangal, et al. · IEEE International Conference on Big Data (BigData) · 4
Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery
2020 · Trevor M. Bajkowski, Grant J. Scott, et al. · IEEE International Conference on Big Data (BigData) · 4
Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features
2020 · Jeffrey J. Dale, David Huangal, et al. · IEEE Applied Imagery Pattern Recognition Workshop · 4
Maneuverability hazard detection and localization in low-altitude UAS imagery
2020 · Alex Hurt, David Huangal, et al. · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications · 4
A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery
2019 · J. Alex Hurt, David Huangal, et al. · IEEE International Conference on Big Data (BigData) · 4
Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets
2019 · Alan B. Cannaday II, Raymond L. Chastain, et al. · IEEE International Conference on Big Data (BigData) · 4
Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery
2021 · Trevor M. Bajkowski, J. Alex Hurt, et al. · IEEE Applied Imagery Pattern Recognition Workshop · 3
Accumulating confidence for deep neural network object detections and semantic segmentations in sequential UAS imagery through spatiotemporal feature correspondences generated from SfM techniques
2021 · Trevor M. Bajkowski, James Alex Hurt, et al. · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications · 3
Evaluating deep road segmentation techniques for low-altitude UAS imagery
2020 · David Huangal, Jeffrey Dale, et al. · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications · 3
Towards automatic characterization of nano-energetic material response to directed energy
2023 · Timothy Gaines, Camden Boyle, et al. · 2
Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors
2020 · Trevor M. Bajkowski, David Huangal, et al. · IEEE Applied Imagery Pattern Recognition Workshop · 2
Works count: 38
Citation count: 214
H-index: 6
I10-index: 3
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