In-Scene-Based Atmospheric Correction of Uncalibrated VISible-SWIR (VIS-SWIR) Hyper- and Multispectral Imagery

Abstract

The QUAC (Quick Atmospheric Correction) algorithm for in-scene-based atmospheric correction of VIS-SWIR (VISible-Short Wave InfraRed) Multi- and Hyperspectral Imagery (MSI and HSI) is reviewed and applied to radiometrically uncalibrated data. Quite good agreement was previously demonstrated for the retrieved pixel spectral reflectances between QUAC and the physics-based atmospheric correction code FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes) for a variety of HSI and MSI data cubes. In these code-to-code comparisons, all the data cubes were obtained with well-calibrated sensors. However, many sensors operate in an uncalibrated manner, precluding the use of physics-based codes to retrieve surface reflectance. The ability to retrieve absolute spectral reflectances from such sensors would significantly increase the utility of their data. We apply QUAC to calibrated and uncalibrated versions of the same Landsat MSI data cube, and demonstrate nearly identical retrieved spectral reflectances for the two data sets.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA528389

Entities

People

  • A. J. Ratkowski
  • L. S. Bernstein
  • R. L. Sundberg
  • S. M. Adler-golden

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Boltzmann Equation
  • Celestial Brightness
  • Cloud Cover
  • Computations
  • Data Analysis
  • Data Sets
  • Detectors
  • Dynamic Range
  • Materials
  • Multispectral
  • Reflectance
  • Spectra
  • Standards
  • Vegetation

Fields of Study

  • Environmental science
  • Physics

Readers

  • Atmospheric Remote Sensing.
  • Atmospheric Science/Meteorology