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David Huangal
David Huangal
University of Missouri
在 umsystem.edu 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Maneuverability hazard detection and localization in low-altitude uas imagery
JA Hurt, D Huangal, J Dale, TM Bajkowski, JM Keller, GJ Scott, SR Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020
82020
Spatiotemporal maneuverability hazard analytics from low-altitude uas sensors
TM Bajkowski, D Huangal, JA Hurt, J Dale, JM Keller, GJ Scott, SR Price
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-13, 2020
62020
Evaluating deep road segmentation techniques for low-altitude uas imagery
D Huangal, J Dale, JA Hurt, TM Bajkowski, JM Keller, GJ Scott, SR Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020
62020
A comparison of deep learning vehicle group detection in satellite imagery
JA Hurt, D Huangal, CH Davis, GJ Scott
2019 IEEE International Conference on Big Data (Big Data), 5419-5427, 2019
52019
enabling machine-assisted visual analytics for high-resolution remote sensing imagery with enhanced benchmark meta-dataset training of NAS neural networks
JA Hurt, D Huangal, CH Davis, GJ Scott
2020 IEEE International Conference on Big Data (Big Data), 3914-3923, 2020
42020
Detection of unknown maneuverability hazards in low-altitude uas color imagery using linear features
JJ Dale, D Huangal, JA Hurt, TM Bajkowski, JM Keller, GJ Scott, SR Price
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-9, 2020
42020
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models
A Ouadou, D Huangal, JA Hurt, GJ Scott
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
32023
Evaluating visuospatial features for tracking hazards in overhead uas imagery
TM Bajkowski, JA Hurt, J Dale, D Huangal, JM Keller, GJ Scott, SR Price
2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2021
32021
Differential morphological profile neural network for maneuverability hazard detection in unmanned aerial system imagery
JA Hurt, GJ Scott, D Huangal, J Dale, TM Bajkowski, JM Keller, SR Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021
32021
Accumulating confidence for deep neural network object detections and semantic segmentations in sequential UAS imagery through spatiotemporal feature correspondences generated …
T Bajkowski, JA Hurt, D Huangal, J Dale, J Keller, G Scott, S Price
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021
32021
Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery
D Huangal, GJ Scott, SR Price
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
12022
Towards an explainable AI adjunct to deep network obstacle detection for multisensor vehicle maneuverability assessment
J Dale, T Bajkowski, JA Hurt, D Huangal, N Earle, J Keller, G Scott, ...
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021
2021
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