A Spectral Climatology for Atmospheric Compensation

Abstract

Most Earth observation hyperspectral imagery (HSI) detection and identification algorithms depend critically upon a robust atmospheric compensation capability to correct for the effects of the atmosphere on the radiance signal. Most atmospheric compensation methods perform optimally when ancillary ground truth data are available, e.g., high fidelity in situ radiometric observations or atmospheric profile measurements. When ground truth is incomplete or not available, additional assumptions must be made to perform the compensation. Meteorological climatologies are available to provide climatological norms for input into the radiative transfer models; however no such climatologies exist for empirical methods.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
AD1132243

Entities

People

  • John H. Powell
  • Ronald G. Resmini

Organizations

  • George Mason University
  • MITRE Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Altitude
  • Atmospheres
  • Calibration
  • Databases
  • Detectors
  • Electromagnetic Radiation
  • Environment
  • Equations
  • Geographic Regions
  • Geometry
  • Hyperspectral Imagery
  • Illumination
  • Measurement
  • Radiative Transfer
  • Reflectance
  • Remote Sensing
  • Scattering
  • Short-Wavelength Infrared Radiation
  • Spectra

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Image Processing and Computer Vision.
  • Theoretical Analysis.