Modeling the Effects of Atmospheric Propagation for Spectral Libraries of Natural Backgrounds

Abstract

The statistics of natural backgrounds extracted from an Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) hyperspectral datacube collected over Fort AP Hill, VA, were used to demonstrate the effects of the two atmospheric components of a statistical end-to-end performance prediction model. New capabilities in MODTRAN(tm)5 were used to generate coefficients for linear transformations used in the atmospheric transmission and compensation components of a typical end-to-end model. Model radiance statistics, calculated using reflectance data, is found to be similar to the original AVIRIS radiance data. Moreover, if identical atmospheric conditions are applied in the atmospheric transmission and in the atmospheric compensation model components and the effects of sensor noise are disregarded, the resulting reflectance statistics are identical to the original reflectance statistics.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2007
Accession Number
ADA480868

Entities

People

  • Dimitris G. Manolakis
  • Gail Anderson
  • John Cipar
  • John Jacobson
  • Mary A. Glennon
  • Peggy Grigsby
  • Ronald Lockwood
  • Thomas Cooley

Organizations

  • Boston College

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Coefficients
  • Covariance
  • Data Science
  • Detection
  • Hyperspectral Imagery
  • Information Processing
  • Information Science
  • Materials
  • Military Research
  • Normal Distribution
  • Probability
  • Probability Density Functions
  • Spectra
  • Statistical Distributions

Fields of Study

  • Environmental science

Readers

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