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 et al. 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, 2001
Accession Number
ADA624956

Entities

People

  • R. P. Reid

Organizations

  • Rosenstiel School of Marine, Atmospheric, and Earth Science

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acoustic Properties
  • Acoustic Signatures
  • Acquisition
  • Classification
  • Data Processing
  • Data Sets
  • Marine Geology
  • Oceanography
  • Optical Properties
  • Physical Properties
  • Quality Control
  • Reflectance
  • Remote Sensing
  • Seabed
  • Sediments
  • Shallow Water
  • Statistical Analysis

Readers

  • Acoustical Oceanography.
  • Neural Network Machine Learning.