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» Image-quality prediction of synthetic aperture sonar imagery
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ICASSP
2010
IEEE
13 years 4 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
ICIP
2009
IEEE
14 years 5 months ago
Unsupervised Seabed Segmentation Of Synthetic Aperture Sonar Imagery Via Wavelet Features And Spectral Clustering
An unsupervised seabed segmentation algorithm for synthetic aperture sonar (SAS) imagery is proposed. Each 2 m ? 2 m area of seabed is treated as a unique data point. A set of fea...
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 3 months ago
On optimal AUV track-spacing for underwater mine detection
— This work addresses the task of designing the optimal survey route that an autonomous underwater vehicle (AUV) should take in mine countermeasures (MCM) operations. It is assum...
David P. Williams
ICPR
2010
IEEE
13 years 7 months ago
Underwater Mine Classification with Imperfect Labels
A new algorithm for performing classification with imperfectly labeled data is presented. The proposed approach is motivated by the insight that the average prediction of a group ...
David Williams
ICPR
2010
IEEE
13 years 6 months ago
Fast Derivation of Soil Surface Roughness Parameters Using Multi-Band SAR Imagery and the Integral Equation Model
The Integral Equation Model (IEM) predicts the normalized radar cross section (NRCS) of dielectric surfaces given surface and radar parameters. To derive the surface parameters fr...
Benjamin Seppke, Leonie Dreschler-Fischer, Jo-Ann ...