The Use of the LOWTRAN7 Atmospheric Transmittance and Radiance Computer Program for Detection System Design and Analysis

Abstract

The purpose of this study is to demonstrate how the LOWTRAN7 computer model can be used for detection system design and analysis. The LOWTRAN7 code is an atmospheric model that performs low resolution (20cm-1 bandwidth) calculations to estimate atmospheric transmittance and radiance under a given set of conditions. Generic imaging and non-imaging systems are analyzed. A hypothetical figure-of-merit is evaluated for each type of system using the transmittance and radiance calculated by LOWTRAN7. The figure-of-merit calculated for the imaging system is contrast, the difference between the target and background input signals divided by the target input signal. The figure-of- merit evaluated for the non-imaging system is the change in signal (CS), the difference between the input signal with the target in the field-of-view and the input signal without the target in the field-of-view divided by the input signal without the target in the field-of-view. Changing atmospheric, target, and background characteristics in LOWTRAN7 has different effects on the figures-of- merit. The characteristics tested are: background emissivity, target temperature, boundary layer aerosols, atmospheric profiles, relative humidity, and absolute humidity. Two different sensor-target geometries using different paths are studies.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1990
Accession Number
ADA230426

Entities

People

  • Kelli J. Owen

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Bandwidth
  • Boundaries
  • Boundary Layer
  • Computer Programs
  • Computers
  • Detection
  • Detectors
  • Dielectric Gases
  • Emissivity
  • Figure Of Merit
  • Humidity
  • Low Resolution
  • Optical Properties
  • Physics
  • Physics Laboratories

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Spectroscopy.