Preliminary Radar Feature Extraction and Recognition Using Texture Measurement.

Abstract

Preliminary results are presented for the automated extraction and classification of a selected set of radar imagery containing city, field, water, and forest images. A sensing array minicomputer system with image texture processing algorithm was employed for the scanning and conversion of radar images into digital signals and also for the extraction of a feature vector from the images. A sequential template-matching classifier was used for the classification of the set of radar imagery into preassigned categories. Slightly better than 90 percent classification accuracy was obtained. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1983
Accession Number
ADA128394

Entities

People

  • Pi-fuay Chen

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Aerial Photographs
  • Algorithms
  • Computers
  • Covariance
  • Feature Extraction
  • Images
  • Information Science
  • Light Sources
  • Machine Learning
  • Measurement
  • Order Statistics
  • Probability
  • Probability Distributions
  • Radar Images
  • Recognition
  • Statistics

Readers

  • Computer Vision.
  • Regression Analysis.

Technology Areas

  • AI & ML