Application of a Feature Selection Technique to Samples of High Resolution Synthetic Aperture Radar Imagery,

Abstract

A feature selection 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 feature vector was computed from samples of each class. A linear transformation was utilized to develop a new feature vector of reduced dimensionality. This transformation chooses those features that are most effective for performing class separability. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1983
Accession Number
ADA135006

Entities

People

  • R. A. Hevenor

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aerial Photography
  • Army
  • Artificial Intelligence
  • Classification
  • Computer Programs
  • Computers
  • Covariance
  • Data Science
  • Feature Selection
  • High Resolution
  • Information Science
  • Pattern Recognition
  • Probability
  • Radar
  • Recognition
  • Statistics
  • Synthetic Aperture Radar

Readers

  • Computer Vision.