A New Classification Method Based on Cloude-Pottier Eigenvalue/Eigenvector Decomposition

Abstract

In this paper, a new polarimetric scattering parameter, the averaged intensity (I), is introduced to present the backscatter intensity of fully polarimetric Synthetic Aperture Radar (SAR) data. According to the particular analysis on the properties of I, a angle, and entropy H, the mapping rule of I-a-H feature space onto the Intensity-Hue-Saturation (I-H-S) color space is proposed. The authors use the IHS transform instead of a segmentation algorithm to finish the classification. The important advantages of this method are that the information contained in the I-a-H feature space is preserved without any loss in the resulting image, and the execution time is saved since the IHS transform is faster than most complicated segmentations. The result shows that I has the additional information that is not contained in a and H, and the classification result is more readable than that of H/a/A (entropy, scattering angle, anisotropy)

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Document Details

Document Type
Technical Report
Publication Date
Jul 25, 2005
Accession Number
ADA450297

Entities

People

  • Cao Fang
  • Hong Wen

Organizations

  • Chinese Academy of Sciences

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Backscattering
  • Classification
  • Computations
  • Computer Graphics
  • Computer Vision
  • Decomposition
  • Eigenvalues
  • Eigenvectors
  • Graphics
  • Information Operations
  • Intensity
  • Mathematical Analysis
  • Mathematics
  • Saturation
  • Scattering
  • White Light

Readers

  • Image Processing and Computer Vision.
  • Linear Algebra
  • Radar Systems Engineering.

Technology Areas

  • Space