Study and Investigation of Infrared Multispectral Target Cueing Techniques.

Abstract

This report presents the results of a study to analyze and evaluate multispectral infrared target cueing algorithms using an infrared data base (in the 1 - 14 micrometers region) of tactical targets against real backgrounds. Using a modified M7 line scanner, simultaneous multispectral imagery of five bands in the 1 - 14 micrometers region were collected. A description of the collected infrared data base is given including discussions of the motivating factors in determining the spectral regions employed and target and background optical properties. Also, M7 system performance characteristics are examined. Finally, a preliminary evaluation of two different approaches to multispectral target cueing using the collected data base was accomplished. The results of both approaches, the first involving classical maximum likelihood classification using in-scene training and the second involving unsupervised spectral/spatial clustering followed by discrimination based upon size are reported.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1979
Accession Number
ADA074799

Entities

People

  • Jerry L. Beard
  • Stephen R. Stewart

Organizations

  • Environmental Research Institute of Michigan

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Electronic Warfare
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Armored Personnel Carriers
  • Artillery
  • Classification
  • Databases
  • Detection
  • Detectors
  • Digital Data
  • Measurement
  • Measuring Instruments
  • Military Research
  • Optical Detectors
  • Optical Properties
  • Optics
  • Pattern Recognition
  • Warfare
  • Warning Systems

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design