FLIR Operator Requirements Study

Abstract

Three experiments were carried out to determine the quantitative relationships between FLIR image quality parameters and target recognition. Simulated FLIR imagery was used in each experiment to measure recognition performance as a function of specific image quality variables. The original target imagery was produced by photographing the displayed output of an infrared sensor. A variety of target types and examples were used. In each experiment the original target images were degraded by digital image processing techniques according to specific levels of the image quality variables. Experimentation was then carried out in a laboratory situation to measure recognition performance. Data from a total of 43,764 experimental trials were collected and analyzed. The implications of the results of the three experiments to system design is discussed. The image quality variable investigated in Experiment 1 were: number of scan lines, modulation transfer function, noise, and magnification. Experiment 2 investigated the following image quality variables: number of scan lines, scan aperture size, noise, and magnification. In Experiment 3 the effects of dynamic noise on the recognition of degraded FLIR targets were investigated.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1976
Accession Number
ADA024288

Entities

People

  • Judith M. Erickson
  • Leon G. Williams

Organizations

  • Honeywell International, Inc.

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Cameras
  • Detection
  • Detectors
  • Digital Image Processing
  • Digital Images
  • Experimental Design
  • Image Processing
  • Images
  • Infrared Detectors
  • Magnetic Tape
  • Mathematical Analysis
  • Noise
  • Photographic Film
  • Photographs
  • Photography
  • Target Recognition

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.