Performance of Scattering Matrix Decomposition and Color Spaces for Synthetic Aperture Radar Imagery

Abstract

Polarization decomposition techniques are applied to the polarization-dependent data to form colorful imagery that is easy for a human to interpret. Yet, the presumption is that the SAR system operates with maximum bandwidth requiring extensive processing for near- or real-time application. In this thesis, the author investigates the differences between the choices of color space when processing sparse SAR data with three scattering matrix decompositions (linear, Pauli and Krogager) to determine the best combination for accurate feature extraction. Hence, SAR imagery was computed for the combination of decomposition techniques and color spaces. This set of SAR imagery allows the reader to have an abstract idea of the differences between the combination of decomposition techniques and color spaces.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA516935

Entities

People

  • Manuel E. Arriagada

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Bandwidth
  • Circular Polarization
  • Coordinate Systems
  • Detectors
  • Electromagnetic Radiation
  • Feature Extraction
  • Image Processing
  • Jet Propulsion
  • Measurement
  • Radio Frequency
  • Scattering
  • Synthetic Aperture Radar
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Readers

  • Library and Information Science
  • Linear Algebra
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • Space
  • Space - Space Objects