De-Shadowing of Satellite/Airborne Multispectral and Hyperspectral Imagery

Abstract

A de-shadowing technique is presented for multispectral and hyperspectral imagery over land acquired by satellite / airborne sensors. The method requires a channel in the visible and at least one spectral band in the near-infrared (0.8-1 micrometers) region, but performs much better if bands in the short-wave infrared region (around 1.6 and 2.2 micrometers) are available as well. Five major processing steps are employed : (1) the calculation of the covariance matrix and zero-reflectance matched filter vector based on atmospherically corrected surface reflectance data, (2) the derivation of the unscaled and scaled shadow function, (3) a histogram thresholding of the unscaled shadow function to define the core shadow areas, (4) a region growing to include the surroundings of the core shadow areas for a smooth shadow/clear transition, and (5) the de-shadowing of the pixels in the final shadow mask using the scaled shadow function. A radiative transfer code is employed in the last step to compute the de-shadowed surface reflectance imagery. Example images of hyperspectral airborne and multispectral spaceborne are presented.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2005
Accession Number
ADA469544

Entities

People

  • R. Richter

Organizations

  • German Aerospace Center

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Airborne
  • Artificial Satellites
  • Detection
  • Detectors
  • Filters
  • Histograms
  • Hyperspectral Imagery
  • Illumination
  • Matched Filters
  • Materials
  • Multispectral
  • Radiation
  • Reflectance
  • Remote Sensing
  • Solar Radiation
  • Spectra

Fields of Study

  • Environmental science

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Image Processing and Computer Vision.

Technology Areas

  • Space