David P. Williams

25 papers A* 2A 1B 5C 3Misc 3Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Spectral Partitioning of Synthetic Aperture Sonar Imagery for Improved ATR.
IEEE Geosci. Remote. Sens. Lett.
David P. Williams, Daniel C. Brown
2020 C conf
Data Adaptive Image Enhancement and Classification for Synthetic Aperture Sonar.
IGARSS
Isaac D. Gerg, David P. Williams, Vishal Monga
2019 J jnl
A Novel Framework for Evaluating Performance-Estimation Models.
IEEE Trans. Geosci. Remote. Sens.
David P. Williams
2019 C conf
Transfer Learning with SAS-Image Convolutional Neural Networks for Improved Underwater Target Classification.
IGARSS
David P. Williams
2018 J jnl
The Mondrian Detection Algorithm for Sonar Imagery.
IEEE Trans. Geosci. Remote. Sens.
David P. Williams
2016 A* conf
Adaptive underwater sonar surveys in the presence of strong currents.
ICRA
David P. Williams, Francesco Baralli, Michele Micheli, Simone Vasoli
2016 B conf
Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks.
ICPR
David P. Williams
2015 J jnl
Fast Unsupervised Seafloor Characterization in Sonar Imagery Using Lacunarity.
IEEE Trans. Geosci. Remote. Sens.
David P. Williams
2015 B conf
Multi-look processing of high-resolution SAS data for improved target detection performance.
ICIP
David P. Williams, Alan J. Hunter
2014 J jnl
Exploiting Environmental Information for Improved Underwater Target Classification in Sonar Imagery.
IEEE Trans. Geosci. Remote. Sens.
David P. Williams, Elias Fakiris
2014 B conf
On Human Perception and Automatic Target Recognition: Strategies for Human-Computer Cooperation.
ICPR
David P. Williams, Michel Couillard, Samantha Dugelay
2012 J jnl
AUV-enabled adaptive underwater surveying for optimal data collection.
Intell. Serv. Robotics
David P. Williams
2012 Misc conf
In situ AUV survey adaptation using through-the-sensor sonar data.
ICASSP
David P. Williams, Arjan Vermeij, Francesco Baralli, Johannes Groen, Warren L. J. Fox
2011 J jnl
Label Alteration to Improve Underwater Mine Classification.
IEEE Geosci. Remote. Sens. Lett.
David P. Williams
2011 A conf
On adaptive underwater object detection.
IROS
David P. Williams
2010 Misc conf
Image-quality prediction of synthetic aperture sonar imagery.
ICASSP
David P. Williams
2010 A* conf
On optimal AUV track-spacing for underwater mine detection.
ICRA
David P. Williams
2010 Misc conf
On sand ripple detection in synthetic aperture sonar imagery.
ICASSP
David P. Williams, Enrique Coiras
2010 B conf
Underwater Mine Classification with Imperfect Labels.
ICPR
David P. Williams
2009 J jnl
Bayesian Data Fusion of Multiview Synthetic Aperture Sonar Imagery for Seabed Classification.
IEEE Trans. Image Process.
David P. Williams
2009 — conf
Comparing spatial hypertext collections.
Hypertext
J. Nathan Matias, David P. Williams
2009 J jnl
Mine Classification With Imbalanced Data.
IEEE Geosci. Remote. Sens. Lett.
David P. Williams, Vincent Myers, Miranda Schatten Silvious
2009 C conf
On the Effects of Synthetic-Aperture Length on SAS Seabed Segmentation.
ISDA
David P. Williams, Johannes Groen
2009 B conf
Unsupervised seabed segmentation of synthetic aperture sonar imagery via wavelet features and spectral clustering.
ICIP
David P. Williams
2007 — conf
Gaussian Process Classification using Image Deformation.
ICASSP (2)
David P. Williams