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 | 76 | 2018 |
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 | 14 | 2018 |
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 | 10 | 2018 |
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 | 8 | 2019 |
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 | 7 | 2020 |
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 | 7 | 2020 |
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 | 6 | 2020 |
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 | 6 | 2020 |
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 | 6 | 2019 |
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 | 6 | 2018 |
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 | 5 | 2020 |
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 | 5 | 2019 |
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 | 4 | 2021 |
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 | 4 | 2020 |
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 | 4 | 2020 |
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 | 4 | 2019 |
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 | 3 | 2021 |
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 | 2 | 2023 |
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 | 2 | 2023 |
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 | 2 | 2021 |