Johannes Groen

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Synthetic aperture sonar (SAS) has proved to be successful for mine hunting and is now robust for generating high-resolution images over wide swath. The subsequent step in the processing is detection, discriminating between mine-like and non-mine-like objects, which is designed to minimise the number of missed mines so that the system can manage the(More)
• Overestimation of maximum sonar range (assuming 150m instead of actual 110m) in pre-planned case results in incomplete coverage. • Adaptive method immediately fills in gaps and achieves complete coverage. • Eliminating constraint allows greater coverage faster, but survey takes longer (more tracks and inefficient transit) for complete coverage. 2km x 1km(More)
Autonomous underwater vehicles equipped with high-resolution synthetic aperture sonar (SAS), and automatic target recognition (ATR) algorithms show great potential for the task of search, classify and map. The level of detail recorded by the sonar is typically on the order of hundreds of pixels on an underwater object, valuable for improving classification(More)
In this work, we quantify the relationship between synthetic-aperture length (or equivalently, along-track resolution) and seabed segmentation performance experimentally for real synthetic aperture sonar (SAS) imagery. The seabed segmentation algorithm employed uses wavelet-based features, spectral clustering, and a variational Bayesian Gaussian mixture(More)
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