Third-Order Co-Occurrence Texture Analysis Applied to Samples of High Resolution Synthetic Aperture Radar Imagery.

Abstract

A third-order co-occurrence texture analysis technique was applied to samples of synthetic aperture radar imagery. This technique was applied to four classes of terrain features on selected samples of radar imagery. The four classes considered were forests, cities, agricultural fields, and water. A fracture vector was computed from samples of each class. A linear feature selection technique was applied for dimensionality reduction, and a pseudo-inverse classifier was developed. This classifier was applied to the original training samples as well as to other samples from the same imagery. Keywords include: Texture analysis; Pattern recognition; and Radar imagery.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1985
Accession Number
ADA160640

Entities

People

  • R. A. Hevenor

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Army
  • Arrays
  • Classification
  • Computer Programs
  • Computers
  • Covariance
  • Data Sets
  • Digital Images
  • Dimensionality Reduction
  • Feature Selection
  • High Resolution
  • Machine Learning
  • Pattern Recognition
  • Procedures (Computers)
  • Radar
  • Recognition
  • Synthetic Aperture Radar

Readers

  • Control Systems Engineering.
  • Image Processing and Computer Vision.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML