The Effect of Random Variations of Radiosonde Data on the Predicted FLIR Performance Calculated by the Program UFLR

Abstract

The lack of correlation between the Airborne Forward Looking Infrared Detector predicted performance by the program UFLR and the actual performance due to meteorological fluctuations was examined. Calculated performances for the detection, classification and identification of four surface targets using actual radiosonde profiles were compared to the performances using radiosonde data affected by random atmospheric variations of pressure, temperature and relative humidity. A total of 192 performances were created using this method. A visual display and a statistical analysis of the actual and simulated performances was performed. Error margins were determined in the predicted detection ranges for height levels of 1,500 ft., 5,000 ft. and 10,000 ft.. It was also determined that the FLIR performance may be degraded up to 10 nautical miles for a height level of 5,000 ft., and up to 12 nautical miles for a height level of 10,000 ft. due to the random atmospheric variations. Theses

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1989
Accession Number
ADA220034

Entities

People

  • Rodolfo Reategui

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Atmospheric Motion
  • Computer Programs
  • Computers
  • Data Science
  • Detection
  • Detectors
  • Electronic Warfare
  • Humidity
  • Information Science
  • Infrared Detectors
  • Plastic Explosives
  • Refractive Index
  • Scattering
  • Statistical Analysis
  • Surface Targets
  • Surveillance

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Hydraulic Engineering.
  • Thermal Physics or Thermal Science.