David P. Williams

According to our database, David P. Williams authored at least 24 papers between 2007 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Data Adaptive Image Enhancement and Classification for Synthetic Aperture Sonar.

Isaac D. Gerg, David P. Williams, Vishal Monga

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

A Novel Framework for Evaluating Performance-Estimation Models.

David P. Williams

IEEE Trans. Geosci. Remote. Sens., 2019

Transfer Learning with SAS-Image Convolutional Neural Networks for Improved Underwater Target Classification.

David P. Williams

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

The Mondrian Detection Algorithm for Sonar Imagery.

David P. Williams

IEEE Trans. Geosci. Remote. Sens., 2018

2016

Adaptive underwater sonar surveys in the presence of strong currents.

David P. Williams, Francesco Baralli, Michele Micheli, Simone Vasoli

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks.

David P. Williams

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Fast Unsupervised Seafloor Characterization in Sonar Imagery Using Lacunarity.

David P. Williams

IEEE Trans. Geosci. Remote. Sens., 2015

Multi-look processing of high-resolution SAS data for improved target detection performance.

David P. Williams, Alan J. Hunter

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Exploiting Environmental Information for Improved Underwater Target Classification in Sonar Imagery.

David P. Williams, Elias Fakiris

IEEE Trans. Geosci. Remote. Sens., 2014

On Human Perception and Automatic Target Recognition: Strategies for Human-Computer Cooperation.

David P. Williams, Michel Couillard, Samantha Dugelay

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2012

AUV-enabled adaptive underwater surveying for optimal data collection.

David P. Williams

Intell. Serv. Robotics, 2012

In situ AUV survey adaptation using through-the-sensor sonar data.

David P. Williams, Arjan Vermeij, Francesco Baralli, Johannes Groen, Warren L. J. Fox

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Label Alteration to Improve Underwater Mine Classification.

David P. Williams

IEEE Geosci. Remote. Sens. Lett., 2011

On adaptive underwater object detection.

David P. Williams

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010

On optimal AUV track-spacing for underwater mine detection.

David P. Williams

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Underwater Mine Classification with Imperfect Labels.

David P. Williams

Proceedings of the 20th International Conference on Pattern Recognition, 2010

On sand ripple detection in synthetic aperture sonar imagery.

David P. Williams, Enrique Coiras

Proceedings of the IEEE International Conference on Acoustics, 2010

Image-quality prediction of synthetic aperture sonar imagery.

David P. Williams

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Bayesian Data Fusion of Multiview Synthetic Aperture Sonar Imagery for Seabed Classification.

David P. Williams

IEEE Trans. Image Process., 2009

Mine Classification With Imbalanced Data.

David P. Williams, Vincent Myers, Miranda Schatten Silvious

IEEE Geosci. Remote. Sens. Lett., 2009

On the Effects of Synthetic-Aperture Length on SAS Seabed Segmentation.

David P. Williams, Johannes Groen

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Unsupervised seabed segmentation of synthetic aperture sonar imagery via wavelet features and spectral clustering.

David P. Williams

Proceedings of the International Conference on Image Processing, 2009

Comparing spatial hypertext collections.

J. Nathan Matias, David P. Williams

Proceedings of the HYPERTEXT 2009, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, June 29, 2009

2007

Gaussian Process Classification using Image Deformation.

David P. Williams

Proceedings of the IEEE International Conference on Acoustics, 2007