A Four-Component Decomposition of POLSAR Image

Abstract

A four-component scattering model is proposed to decompose polarimetric synthetic aperture radar images. The covariance matrix approach is used to deal with the non-reflection symmetric scattering case. This scheme includes and extends the three-component decomposition method dealing with the reflection symmetry condition that the co-pol and the cross-pol correlations are close to zero. Circular polarization power is added as the fourth component to the three component scattering model which describes surface, double bounce, and volume scattering. This circular polarization term is added to take account of the co-pol and the cross-pol correlations which generally appear in complex urban area scatttering and disappear for natural distributed scatterer.

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Document Details

Document Type
Technical Report
Publication Date
Jul 25, 2005
Accession Number
ADA453477

Entities

People

  • Hiroyoshi Yamada
  • Motoi Ishido
  • Toshifumi Moriyama
  • Yoshio Yamaguchi

Organizations

  • Niigata University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Circular Polarization
  • Covariance
  • Data Processing
  • Data Science
  • Decomposition
  • Information Processing
  • Information Science
  • Information Systems
  • Order Statistics
  • Polarization
  • Reflection
  • Scattering
  • Statistics
  • Symmetry
  • Urban Areas
  • X Band

Fields of Study

  • Physics

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Radar Systems Engineering.