Publication Detail

Spectral-Feature Classification of Oceanographic Processes Using an Autonomous Underwater Vehicle.

Yanwu Zhang, Arthur B. Baggeroer, James G Bellingham
16 pp.
MITSG 02-02J
$4.00 DOM

This paper develops and demonstrates a method of classifying oceanographic processes using an autonomous- under-water vehicle (AUV). First, the authors establish the 'mingled-spectrum principle' which concisely relates observations from a moving platform to the frequency- wavenumber spectrum of the surveyed process. An AUV can distinguish between oceanographic processes by jointly utilizing temporal and spatial information. A parametric tool for designing an AUV spectral classifier is then developed. An AUV's controllable speed tunes the separability between the mingled spectra of different processes. This property is the key to optimizing the classifier's performance. As a case study, AUV-based classification is applied to distinguish ocean convection from internal waves. Finally, the AUV classifier was tested by the Labrador Sea Convection Experiment of 1998, in which it measured flow velocity.

type: Technical reports

Parent Project

Project No.: 1999-R/RT-2/RCM-4
Title: Distributed Observatories for the Coastal Environment

Other publications by this author (as Lead)