Physics-Based Infrared Terrain Radiance Texture Model.

Abstract

This report develops a physics-based semiempirical model for predicting the texture of an infrared (IR) image of terrain areas including soil, grass, and forest canopies. The model is based on an empirical determination of the relationship between the standard deviation and correlation length of the terrain radiance variations in an IR image and the average value of the radiance in the image. The average value of the terrain radiance is then theoretically predicted by the WESTHERM terrain radiance prediction model in terms of local terrain and weather conditions and in terms of the time of day. In this way, the diurnal variation of the standard deviation and correlation length of the radiance or brightness temperature can be predicted for specified terrain and weather conditions.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1995
Accession Number
ADA293464

Entities

People

  • Bruce M. Sabol
  • James A. Smith
  • John W. Bales
  • Richard A. Weiss

Tags

Communities of Interest

  • C4I
  • Sensors

DTIC Thesaurus Topics

  • Army Corps Of Engineers
  • Brightness
  • Computer Programs
  • Data Reduction
  • Data Science
  • Detectors
  • Diurnal Variations
  • Equations
  • Information Science
  • Joint Test And Evaluation
  • Materials
  • Radiation
  • Space Flight
  • Standards
  • Statistical Analysis
  • Statistics
  • Test And Evaluation

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Computer Vision.