Electro-Optic Identification (EOID) Research Program

Abstract

The goal of this research is to provide computer-assisted identification of underwater mines in electro-optic imagery. Identification algorithms will greatly reduce the time and risk to reacquire mine-like-objects for positive classification and identification. The objectives are to collect electro-optic data under a wide range of operating and environmental conditions and develop precise algorithms that can provide accurate target recognition on this data for all possible conditions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA626574

Entities

People

  • Franklin D. Snyder
  • Gene M. Cumm

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Brightness
  • Classification
  • Computers
  • Contrast
  • Convolution
  • Data Sets
  • Detection
  • Detectors
  • Frequency Domain
  • Identification
  • Images
  • Optical Detection
  • Recognition
  • Target Recognition
  • Underwater Mines

Readers

  • Sensor Fusion and Tracking Systems.