Wavelet-Based Data Compression for Communication of Side Scan Sonar Images

Abstract

Both the Remote Mine-Hunting System (RMS) and the Long-Term Mine Reconnaissance System (LMRS) will deploy remote mine countermeasure (MCM) vehicles with side scan sonar as a principal sensor. Wavelet-based data compression techniques are presented for preprocessing side scan sonar images communicated from remotely deployed MCM vehicles to the host platforms through a single communication channel. To satisfy bandwidth, signal-to-noise ratio, and real-time processing requirements, orthogonal and biorthogonal wavelet bases have been evaluated for algorithms achieving image compression ratios at 25:1, 50:1, and 100:1. These compression ratios are required while preserving the visual clues human operators use to classify mine-like objects and computational clues used by automated classification algorithms. Fleet side scan sonar images have been processed and signal degradation evaluated based on comparative performances of an automated classification algorithm. Results from testing on compressed and uncompressed images are presented for the automated detection and classification algorithm developed under the Office of Naval Research sponsorship.

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Document Details

Document Type
Technical Report
Publication Date
Apr 15, 1997
Accession Number
ADA637100

Entities

People

  • B. Jawerth
  • G. Dobeck
  • J. Impagliazzo
  • L. Smedley
  • Leonard Mygatt
  • Q. Huynh
  • W. Greene

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Bandwidth
  • Classification
  • Communication Channels
  • Compression
  • Compression Ratio
  • Computational Science
  • Data Compression
  • Detection
  • Frequency Bands
  • Image Compression
  • Images
  • Side Looking Sonar
  • Sonar
  • Sonar Images
  • Target Recognition
  • Unmanned Underwater Vehicles

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Naval Mine Countermeasure Systems Development.
  • Sensor Fusion and Tracking Systems.