Intercomparison of Atmospheric Correction Algorithms Applied to HICO Imagery

Abstract

In this study we examine results from two atmospheric correction approaches applied to HICO data. The first atmospheric correction approach is the standard multispectral Gordon/Wang NIR atmospheric correction applied to HICO MODIS-like channels using appropriate MODIS relative spectral response tables. The second approach is the Cloud and Shadow (C&S) atmospheric correction which is a scene-dependent method that requires accurate detection of a cloud-shadow pair and a neighboring sunny region which has the same water properties as the shadow region. Although clouds are relatively easy to detect, detecting their shadows over deep water is quite challenging. In this study we also introduce an automated cloud shadow detection approach; for convenience we call it the Cloud Shadow Algorithm (CSA) and it seems to work reasonably well over homogeneous water bodies. We present some preliminary results comparing the two atmospheric correction approaches and also some preliminary results of the shadow detection approach.

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Document Details

Document Type
Technical Report
Publication Date
Mar 02, 2011
Accession Number
ADA536933

Entities

People

  • Marcos J. Montes
  • Paul M. Martinolich
  • Richard W Gould
  • Robert A. Arnone
  • Ruhul Amin
  • Weilin W. Hou

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Atmospheres
  • Clouds
  • Detection
  • Detectors
  • Military Research
  • Multispectral
  • Optical Properties
  • Reflectance
  • Remote Sensing
  • Scattering
  • Short-Wavelength Infrared Radiation
  • Spectra
  • Standards
  • Transmittance
  • Water

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Computer Vision.
  • Geodesy