Target Discrimination Using Infrared Techniques: Theoretical Considerations.

Abstract

This effort provides image processing systems, such as the RADC AFES (Automatic Feature Extraction System) and MIES (Multi-Imagery Exploitation System ) testbeds an increased capability for discriminating tactical targets from the surface background in thermal infrared (IR) imagery. This investigation presents theories of the thermal emissivity and reflectivity of natural surfaces and applies these theories to develop a background model. This will hopefully lead to the construction of algorithms to be used as a background information filter to aid in the separation of targets from background. Keywords include: Ir imagery, Automatic pattern recognition, Algorithm development, and Image exploitation.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1985
Accession Number
ADA154070

Entities

People

  • L. B. Schoch
  • M. J. Duggin

Organizations

  • State University of New York College of Environmental Science and Forestry

Tags

Communities of Interest

  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Classification
  • Detection
  • Detectors
  • Electromagnetic Radiation
  • Geometry
  • Image Processing
  • Infrared Detectors
  • Measurement
  • Optical Properties
  • Optics
  • Pattern Recognition
  • Plastic Explosives
  • Scattering
  • Target Discrimination
  • Three Dimensional
  • Visible Spectra

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Spectroscopy.

Technology Areas

  • AI & ML