James Alex Hurt
Orcid: 0000-0002-7234-1301
According to our database1,
James Alex Hurt
authored at least 23 papers
between 2018 and 2023.
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Bibliography
2023
Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery.
Sensors, September, 2023
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Hybrid Differential Morphological Profile Enabled Faster R-Cnn For Object Detection In High-Resolution Remote Sensing Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Overhead Object Detection with Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023
2022
Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN.
Proceedings of the International Joint Conference on Neural Networks, 2022
Classification of an 8-Band Multi-Spectral Dataset Using DCNNs with Weight Initializations Derived from Pre-Trained RGB Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021
2020
Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020
2019
Comparison of Deep Learning Model Performance between Meta-Dataset Training Versus Deep Neural Ensembles.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets.
IEEE Geosci. Remote. Sens. Lett., 2018
Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset.
Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018
Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics.
Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018