EOID Evaluation and Automated Target Recognition

Abstract

The Navy is in the early stages of incorporating high resolution Electro-Optic IDentification (EOID) sensors into shallow water littoral zone minehunting systems on towed, remotely operated, and autonomous platforms. These downlooking laser-based sensors operate at unparalleled standoff ranges in visible wavelengths to image and identify mine-like objects (MLOs) that have been detected through other sensing means such as magnetic induction and various modes of acoustic imaging. Our long term goal is to provide a robust automated target cueing and identification capability for use with these imaging sensors. It is also our goal to assist the Navy in understanding, quantifying, and ultimately predicting the detection, identification, and false alarm performance of these systems in varied conditions of water quality, ambient light, and range to target.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA627429

Entities

People

  • Bryan Coles
  • William C. Radzelovage

Organizations

  • RTX

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Automated Target Recognition
  • Boundaries
  • Computer Vision
  • Computers
  • Databases
  • Detection
  • Detectors
  • Environment
  • False Alarms
  • Human-Machine Interaction
  • Identification
  • Recognition
  • Signal Processing
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Directed Energy