Principal Components as a Method for Atmospherically Correcting Coastal Zone Color Scanner Data,

Abstract

The Coastal Zone Color Scanner (CZCS) images the earth's oceans in five visible/near-IR spectral bands. In the visible portion of the electromagnetic spectrum, satellite observed radiance typically consists of approximately 90% of atmospheric backscatter and 10% of ocean-scattered radiance. Subtle color signatures associated with oceanic features are frequently masked by this atmospheric path radiance. Accurate atmospheric correction of CZCS data is, therefore, a prerequisite to optimum information extraction from this imagery. The most widely accepted atmospheric correction scheme for CZCS data, based on a single scattering model of the atmosphere plus certain assumed optical properties of the ocean, has several inherent drawbacks that limit its effectiveness. Principal Components Analysis, a common pattern recognition tool, is offered as an alternate atmospheric correction scheme based upon a statistical rather than a modeling approach. The Principal Components method is applied to a representative CZCS data set and a comparison is made wth corrections derived by the modeling method. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1983
Accession Number
ADP003124

Entities

People

  • R. J. Holyer

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Atmospheres
  • Backscattering
  • Data Sets
  • Diffraction
  • Electromagnetic Spectra
  • Environment
  • Extraction
  • Optical Properties
  • Pattern Recognition
  • Radiance
  • Recognition
  • Scattering
  • Spectra
  • Wave Phenomena

Fields of Study

  • Environmental science
  • Physics

Readers

  • Educational Psychology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space