David Huangal

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Satellite Images

Visual Analytics

Top Venues

Publications

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