Artykuły udostępnione publicznie: - David P. WilliamsWięcej informacji
Niedostępne w żadnym miejscu: 9
On the use of tiny convolutional neural networks for human-expert-level classification performance in sonar imagery
DP Williams
IEEE journal of oceanic engineering 46 (1), 236-260, 2020
Upoważnienia: US Department of Defense
The Mondrian detection algorithm for sonar imagery
DP Williams
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 1091-1102, 2017
Upoważnienia: US Department of Defense
Automatic target recognition for mine countermeasure missions using forward-looking sonar data
N Palomeras, T Furfaro, DP Williams, M Carreras, S Dugelay
IEEE Journal of Oceanic Engineering 47 (1), 141-161, 2021
Upoważnienia: US Department of Defense
Transfer learning with SAS-image convolutional neural networks for improved underwater target classification
DP Williams
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
Upoważnienia: US Department of Defense
Exploiting phase information in synthetic aperture sonar images for target classification
DP Williams
2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), 1-6, 2018
Upoważnienia: US Department of Defense
A novel framework for evaluating performance-estimation models
DP Williams
IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5285-5302, 2019
Upoważnienia: US Department of Defense
The new muesli complexity metric for mine-hunting difficulty in sonar images
DP Williams
2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), 1-7, 2018
Upoważnienia: US Department of Defense
Learning-based tone mapping to improve 3d sas atr
GD Vetaw, B Cowen, DC Brown, DP Williams, S Jayasuriya
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
Upoważnienia: US National Science Foundation, US Department of Defense
On the Utility of Multiple Sonar Imaging Bands for Underwater Object Recognition
DP Williams
OCEANS 2022, Hampton Roads, 1-6, 2022
Upoważnienia: US Department of Defense
Dostępne w jakimś miejscu: 7
A real-time underwater object detection algorithm for multi-beam forward looking sonar
E Galceran, V Djapic, M Carreras, DP Williams
IFAC Proceedings Volumes 45 (5), 306-311, 2012
Upoważnienia: Government of Spain
Acoustic-color-based convolutional neural networks for UXO classification with low-frequency sonar
DP Williams
John S. Papadakis (Hg.): UACE2019-Conference Proceedings. 5th Underwater …, 2019
Upoważnienia: US Department of Defense
Three-dimensional convolutional neural networks for target classification with volumetric sonar data
DP Williams, DC Brown
Proceedings of Meetings on Acoustics 44 (1), 2021
Upoważnienia: US Department of Defense
New target detection algorithms for volumetric synthetic aperture sonar data
DP Williams, DC Brown
Proceedings of Meetings on Acoustics 40 (1), 2020
Upoważnienia: US Department of Defense
Convolutional neural network transfer learning for underwater object classification
D Williams
Proceedings of the 4th International Conference on Synthetic Aperture Sonar …, 2018
Upoważnienia: US Department of Defense
A family of algorithms for the automatic detection, isolation, and fusion of object responses in sonar data
DP Williams, A España, SG Kargl, KL Williams
Proceedings of Meetings on Acoustics 44 (1), 2021
Upoważnienia: US Department of Defense
Final Report SERDP Project MR18-1444
DP Williams
Upoważnienia: US Department of Defense
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