Automated Change Detection Using Synthetic Aperture Sonar Imagery

Abstract

When resurveying a seafloor area of interest during change detection operations, an automated method to match found bottom objects with objects detected in a previous survey allows the surveyor to quickly sort new objects from old. The change detection system developed at the Naval Research Laboratory contains modules for automatic object detection, feature matching using shadow outlining, scene matching using control-point matching, and visualization capabilities. This system was developed for sidescan sonar surveys using instrumentation such as the high-frequency Marine Sonic Technology sidescan sonar. In this paper, the authors describe modifications to the sidescan-based system required to perform change detection using Synthetic Aperture Sonar (SAS) bottom imagery.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA527388

Entities

People

  • John Dubberley
  • Marlin Gendron
  • Maura Lohrenz

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Counter IED
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Automated Target Recognition
  • Autonomous Underwater Vehicles
  • Change Detection
  • Detection
  • Frequency
  • High Resolution
  • Image Processing
  • Improvised Explosive Devices
  • Military Research
  • Recognition
  • Remotely Piloted Vehicles
  • Seabed
  • Signal Detection
  • Signal Processing
  • Sonar
  • Synthetic Aperture Sonar
  • Target Recognition

Readers

  • Acoustical Oceanography.
  • Computer Vision.