Sonar Signal Acquisition and Processing for Identification and Classification of Ship Hull Fouling

Abstract

This work has involved the use of the Naval Postgraduate School's TRITECH ST 725 high frequency mechanically scanned sonar system to acquire sonar images of simulated surface roughness on an aluminum plate. Signal post processing for such image data is reviewed, and post processed data is analyzed and compared to the known roughness locations on the plate. The simulated roughness pattern of one half inch steel nuts is used as a preliminary experiment in the development of a sonar detection system for marine growth on ship hull plating. Such a sonar system will be an integral part of any ship hull cleaning robot (SHACR). Contained in this report is a description of the experimental arrangement, typical sonar returns, a summary of image processing techniques, and results of processed data. The algorithms presented here will ultimately lead to a real time processing capability for the specification of location and extent of roughness as needed for the automatic direction of the robot's motion. Sonar imaging, Robotics, Hull cleaning, Autonomous systems.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1993
Accession Number
ADA275983

Entities

People

  • A. J. Healy
  • Ranjan Mukherjee

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Autonomous Systems
  • Autonomous Underwater Vehicles
  • Data Acquisition
  • Data Processing
  • Detection
  • Frequency
  • Geometry
  • Identification
  • Image Processing
  • Low Resolution
  • Preprocessing
  • Signal Processing
  • Slant Range
  • Sonar Signals
  • Surface Warfare

Readers

  • Computer Vision.
  • Marine Hydrodynamics
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy