David P. Williams

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 8

Top Topics

Automatic Target Recognition

Transfer Learning

Synthetic Aperture Sonar

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Isaac D. Gerg, David P. Williams, Vishal Monga
Data Adaptive Image Enhancement and Classification for Synthetic Aperture Sonar. IGARSS (2020)
David P. Williams
Transfer Learning with SAS-Image Convolutional Neural Networks for Improved Underwater Target Classification. IGARSS (2019)
David P. Williams
A Novel Framework for Evaluating Performance-Estimation Models. IEEE Trans. Geosci. Remote. Sens. 57 (8) (2019)
David P. Williams
The Mondrian Detection Algorithm for Sonar Imagery. IEEE Trans. Geosci. Remote. Sens. 56 (2) (2018)
David P. Williams, Francesco Baralli, Michele Micheli, Simone Vasoli
Adaptive underwater sonar surveys in the presence of strong currents. ICRA (2016)
David P. Williams
Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks. ICPR (2016)
David P. Williams
Fast Unsupervised Seafloor Characterization in Sonar Imagery Using Lacunarity. IEEE Trans. Geosci. Remote. Sens. 53 (11) (2015)
David P. Williams, Alan J. Hunter
Multi-look processing of high-resolution SAS data for improved target detection performance. ICIP (2015)
David P. Williams, Michel Couillard, Samantha Dugelay
On Human Perception and Automatic Target Recognition: Strategies for Human-Computer Cooperation. ICPR (2014)
David P. Williams, Elias Fakiris
Exploiting Environmental Information for Improved Underwater Target Classification in Sonar Imagery. IEEE Trans. Geosci. Remote. Sens. 52 (10) (2014)
David P. Williams
AUV-enabled adaptive underwater surveying for optimal data collection. Intell. Serv. Robotics 5 (1) (2012)
David P. Williams, Arjan Vermeij, Francesco Baralli, Johannes Groen, Warren L. J. Fox
In situ AUV survey adaptation using through-the-sensor sonar data. ICASSP (2012)
David P. Williams
Label Alteration to Improve Underwater Mine Classification. IEEE Geosci. Remote. Sens. Lett. 8 (3) (2011)
David P. Williams
On adaptive underwater object detection. IROS (2011)
David P. Williams
Image-quality prediction of synthetic aperture sonar imagery. ICASSP (2010)
David P. Williams
On optimal AUV track-spacing for underwater mine detection. ICRA (2010)
David P. Williams, Enrique Coiras
On sand ripple detection in synthetic aperture sonar imagery. ICASSP (2010)
David P. Williams
Underwater Mine Classification with Imperfect Labels. ICPR (2010)
David P. Williams
Unsupervised seabed segmentation of synthetic aperture sonar imagery via wavelet features and spectral clustering. ICIP (2009)
David P. Williams, Vincent Myers, Miranda Schatten Silvious
Mine Classification With Imbalanced Data. IEEE Geosci. Remote. Sens. Lett. 6 (3) (2009)
David P. Williams
Bayesian Data Fusion of Multiview Synthetic Aperture Sonar Imagery for Seabed Classification. IEEE Trans. Image Process. 18 (6) (2009)
David P. Williams, Johannes Groen
On the Effects of Synthetic-Aperture Length on SAS Seabed Segmentation. ISDA (2009)
J. Nathan Matias, David P. Williams
Comparing spatial hypertext collections. Hypertext (2009)
David P. Williams
Gaussian Process Classification using Image Deformation. ICASSP (2) (2007)