Development of an Automated Roughness Estimation Algorithm for Sidescan Imagery

Abstract

Estimations of seafloor clutter (also called mine-like echoes) and roughness (bottom relief) are needed during mine warfare operations to determine seafloor type for a geographic region of interest. Analysts at the Naval Oceanographic Office estimate bottom clutter and roughness from sidescan sonar imagery (SSI). However, detecting clutter and determining roughness manually is often time consuming and can produce inconsistent results. The Naval Research Laboratory has developed an algorithm to automatically derive seafloor roughness from SSI. In repeated trials, results of the automated roughness algorithm correlated well (as high as 87%) with manual roughness estimations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADA493199

Entities

People

  • Marlin L. Gendron
  • Maura Connor Lohrenz

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Agreements
  • Algorithms
  • Cancer
  • Computers
  • Detection
  • Electronic Mail
  • Geographic Regions
  • High Resolution
  • Information Operations
  • Intensity
  • Military Research
  • Remote Sensing
  • Roughness
  • Seabed
  • Signal Detection
  • Signal Processing
  • Sonar

Readers

  • Acoustical Oceanography.
  • Database Systems and Applications