Detection of Internal Waves Using Multi-Aspect Processing in Synthetic Aperture Sonar

Refractive effects may cause artifacts in synthetic aperture sonar (SAS) imagery and interferometry processing. These effects may appear as natural seabed features in the data products, and are difficult to detect as water column induced features. We propose to use a technique based on multi-aspect processing applied to the SAS data to detect the water column induced features. The technique has been tested and demonstrated on real data from an interferometric SAS collected by a HUGIN autonomous underwater vehicle from the ARISE' 12 trials conducted by NATO research vessel Alliance owned and operated by Centre for Maritime Research and Experimentation.