An Algorithm for De-Shadowing Spectral Imagery

Abstract

A new matched filter-based algorithm has been developed for detecting and approximately correcting for shadows or other illumination variations in spectral imagery. Initial evaluations have been conducted with a handful of data cubes, including AVIRIS data. The de-shadowed images have a generally realistic appearance and reveal a wealth of previously hidden surface details.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2002
Accession Number
ADA431924

Entities

People

  • Gail P. Anderson
  • Gerald W. Felde
  • James A. Gardner
  • Michael W. Matthew
  • Steven Adler-golden

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Atmospheric Scattering
  • Detection
  • Earth Sciences
  • Filters
  • Hyperspectral Imagery
  • Illumination
  • Matched Filters
  • Materials
  • Military Research
  • Remote Sensing
  • Scattering
  • Spectra
  • Standards
  • Terrain

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.