An Exploration of the Potential for Opti-Acoustic Seabed Classification

Abstract

Seabed classification is the organization of the seafloor and shallow subsurface sediment into classes based on defined characteristics (Collins, 1996). Optical and acoustical data processing are two powerful remote sensing techniques for sea floor classification. Our research goal is to explore the potential for the fusion of these two data sets to extend classification capabilities beyond traditional methods.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA629172

Entities

People

  • R. P. Reid

Organizations

  • Rosenstiel School of Marine, Atmospheric, and Earth Science

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Classification
  • Data Processing
  • Data Sets
  • Divers
  • Environment
  • Environmental Protection
  • Marine Geology
  • Measurement
  • Oceanography
  • Optical Properties
  • Physical Properties
  • Reflectance
  • Remote Sensing
  • Seabed
  • Sediments
  • Shallow Water
  • Transducers

Readers

  • Coastal Oceanography
  • Neural Network Machine Learning.