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J. Alex Hurt
J. Alex Hurt
Center for Geospatial Intelligence
在 mail.missouri.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Enhanced fusion of deep neural networks for classification of benchmark high-resolution image data sets
GJ Scott, KC Hagan, RA Marcum, JA Hurt, DT Anderson, CH Davis
IEEE Geoscience and Remote Sensing Letters 15 (9), 1451-1455, 2018
762018
Benchmark meta-dataset of high-resolution remote sensing imagery for training robust deep learning models in machine-assisted visual analytics
JA Hurt, GJ Scott, DT Anderson, CH Davis
2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-9, 2018
142018
Aggregating deep convolutional neural network scans of broad-area high-resolution remote sensing imagery
GJ Scott, JA Hurt, RA Marcum, DT Anderson, CH Davis
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
102018
Remote sensing object localization with deep heterogeneous superpixel features
A Yang, JA Hurt, CT Veal, GJ Scott
2019 IEEE International Conference on Big Data (Big Data), 5453-5461, 2019
82019
Differential morphological profile neural network for object detection in overhead imagery
GJ Scott, JA Hurt, A Yang, MA Islam, DT Anderson, CH Davis
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
72020
Maneuverability hazard detection and localization in low-altitude uas imagery
JA Hurt, D Huangal, J Dale, TM Bajkowski, JM Keller, GJ Scott, SR Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020
72020
Spatiotemporal maneuverability hazard analytics from low-altitude uas sensors
TM Bajkowski, D Huangal, JA Hurt, J Dale, JM Keller, GJ Scott, SR Price
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-13, 2020
62020
Evaluating deep road segmentation techniques for low-altitude uas imagery
D Huangal, J Dale, JA Hurt, TM Bajkowski, JM Keller, GJ Scott, SR Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020
62020
Decision-level fusion of DNN outputs for improving feature detection performance on large-scale remote sensing image datasets
AB Cannaday II, RL Chastain, JA Hurt, CH Davis, GJ Scott, AJ Maltenfort
2019 IEEE International Conference on Big Data (Big Data), 5428-5436, 2019
62019
Exploring the effects of class-specific augmentation and class coalescence on deep neural network performance using a novel road feature dataset
TW Nivin, GJ Scott, JA Hurt, RL Chastain, CH Davis
2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2018
62018
Extending deep convolutional neural networks from 3-color to full multispectral remote sensing imagery
TM Bajkowski, GJ Scott, JA Hurt, CH Davis
2020 IEEE International Conference on Big Data (Big Data), 3895-3903, 2020
52020
Comparison of deep learning model performance between meta-dataset training versus deep neural ensembles
JA Hurt, GJ Scott, CH Davis
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
52019
Improved classification of high resolution remote sensing imagery with differential morphological profile neural network
JA Hurt, T Bajkowski, GJ Scott
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2823 …, 2021
42021
enabling machine-assisted visual analytics for high-resolution remote sensing imagery with enhanced benchmark meta-dataset training of NAS neural networks
JA Hurt, D Huangal, CH Davis, GJ Scott
2020 IEEE International Conference on Big Data (Big Data), 3914-3923, 2020
42020
Detection of unknown maneuverability hazards in low-altitude uas color imagery using linear features
JJ Dale, D Huangal, JA Hurt, TM Bajkowski, JM Keller, GJ Scott, SR Price
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-9, 2020
42020
A comparison of deep learning vehicle group detection in satellite imagery
JA Hurt, D Huangal, CH Davis, GJ Scott
2019 IEEE International Conference on Big Data (Big Data), 5419-5427, 2019
42019
Differential morphological profile neural network for maneuverability hazard detection in unmanned aerial system imagery
JA Hurt, GJ Scott, D Huangal, J Dale, TM Bajkowski, JM Keller, SR Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021
32021
Towards automatic characterization of nano-energetic material response to directed energy
T Gaines, C Boyle, JA Hurt, MR Maschmann, JM Keller, GJ Scott, ...
Energy Harvesting and Storage: Materials, Devices, and Applications XIII …, 2023
22023
Comparing hand-crafted and learned key-point feature extraction for co-location of sequential low-altitude UAS video frames
T Bajkowski, JA Hurt, J Dale, J Keller, G Scott, S Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2023
22023
Evaluating visuospatial features for tracking hazards in overhead uas imagery
TM Bajkowski, JA Hurt, J Dale, D Huangal, JM Keller, GJ Scott, SR Price
2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2021
22021
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