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David Huangal
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2020 – today
- 2023
- [c7]Anes Ouadou, David Huangal, J. Alex Hurt, Grant J. Scott:
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models. IGARSS 2023: 6366-6369 - 2022
- [c6]David Huangal, Grant J. Scott, Stanton R. Price:
Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery. IGARSS 2022: 299-302 - 2021
- [c5]Trevor M. Bajkowski, J. Alex Hurt, Jeffrey Dale, David Huangal, James M. Keller, Grant J. Scott, Stanton R. Price:
Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery. AIPR 2021: 1-6 - 2020
- [c4]Trevor M. Bajkowski, David Huangal, J. Alex Hurt, Jeffrey Dale, James M. Keller, Grant J. Scott, Stanton R. Price:
Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors. AIPR 2020: 1-13 - [c3]Jeffrey J. Dale, David Huangal, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, Stanton R. Price:
Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features. AIPR 2020: 1-9 - [c2]J. Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott:
Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks. IEEE BigData 2020: 3914-3923
2010 – 2019
- 2019
- [c1]James Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott:
A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery. IEEE BigData 2019: 5419-5427
Coauthor Index
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