A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery. - James Alex Hurt; David Huangal; Curt H. Davis; Grant J. Scott (IEEE BigData, 2019)

Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors. - Trevor M. Bajkowski; David Huangal; J. Alex Hurt; Jeffrey Dale; James M. Keller; Grant J. Scott; Stanton R. Price (AIPR, 2020)

Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features. - Jeffrey J. Dale; David Huangal; J. Alex Hurt; Trevor M. Bajkowski; James M. Keller; Grant J. Scott; Stanton R. Price (AIPR, 2020)

Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks. - J. Alex Hurt; David Huangal; Curt H. Davis; Grant J. Scott (IEEE BigData, 2020)

Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery. - Trevor M. Bajkowski; J. Alex Hurt; Jeffrey Dale; David Huangal; James M. Keller; Grant J. Scott; Stanton R. Price (AIPR, 2021)

Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery. - David Huangal; Grant J. Scott; Stanton R. Price (IGARSS, 2022)

Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models. - Anes Ouadou; David Huangal; J. Alex Hurt; Grant J. Scott (IGARSS, 2023)

Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks. - Anes Ouadou; David Huangal; Mariam Alshehri; Grant J. Scott; J. Alex Hurt (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)