Alex Hurt

Alex's Research

Highlight:


PhD, Computer Science

Research Focus:

  • Deep Learning Neural Networks

  • Computer Vision

  • Morphological NN

Education

Ph. D: Computer Science

  • University of Missouri, 2022

  • Dissertation: Increasing Compulsory Shape Bias in Deep Neural Networks with Differential Morphology for Classification and Detection of RSI

Bachelor of Science: Computer Science, minor Mathematics

  • University of Missouri, 2018

Publications

  1. 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 accepted.

  2. 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. accepted.

  3. 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. to be released.

  4. 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. DOI: 10.1109/IGARSS47720.2021.9553057

  5. 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. DOI: 10.1117/12.2585843

  6. 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. DOI: 10.1117/12.2585905

  7. 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. DOI: 10.1117/12.2585906

  8. 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. DOI: 10.1109/BigData50022.2020.9378199

  9. 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. DOI: 10.1109/BigData50022.2020.9378086

  10. 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. DOI: 10.1109/AIPR50011.2020.9425160

  11. 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. DOI: 10.1109/IJCNN48605.2020.9207387

  12. 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. DOI: 10.1117/12.2557609

  13. 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. DOI: 10.1117/12.2557610

  14. 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. DOI: 10.1109/BigData47090.2019.9006415

  15. 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. DOI: 10.1109/BigData47090.2019.9006502

  16. 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. DOI: 10.1109/BigData47090.2019.9006120

  17. 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. DOI: 10.1109/IGARSS.2019.8898596

  18. 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. DOI: 10.1109/FUZZ-IEEE.2019.8858802

  19. 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. DOI: 10.1109/AIPR.2018.8707433

  20. 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. DOI: 10.1109/AIPR.2018.8707406

  21. 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. DOI: 10.1109/IGARSS.2018.8519300

  22. 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. DOI: 10.1109/LGRS.2018.2839092