Development of a Sidescan Imagery Automated Roughness Estimation Algorithm

Abstract

An accurate estimation of seafloor roughness derived from sidescan imagery (SSI) is one of the components needed to determine bottom type of a geographic area for mine warfare. Analysts at the Naval Oceanographic Office (NAVOCEANO) historically have estimated roughness manually. This paper describes the development and testing of a prototype algorithm capable of deriving roughness from SSI. It also presents results from a feasibility study that showed that the algorithm correctly identified a smooth navigation lane and generated roughness polygons that are approximately 84% consistent with manual roughness polygons over the same area.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2006
Accession Number
ADA498419

Entities

People

  • Geary Layne
  • Marlin L. Gendron
  • Maura Connor Lohrenz

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Autonomous Underwater Vehicles
  • Cancer
  • Clustering
  • Computers
  • Data Sets
  • Detection
  • Feasibility Studies
  • Geographic Regions
  • Image Processing
  • Military Research
  • Navigation
  • Neural Networks
  • Pattern Recognition
  • Seabed
  • Signal Processing
  • Transducers

Fields of Study

  • Computer science

Readers

  • Oceanography.
  • Strategic Security Studies
  • Systems Analysis and Design