Information Processing for Target Detection and Classification.

Abstract

A study was made of optimum feature sets for the identification of a set of aircraft that include airplanes of very similar shape as well as strongly dissimilar ones. A trade-off study was also carried out of the relative effectiveness of phase, amplitude, polarization and frequency in the identification process. In particular the optimum frequencies were determined under the utilization constrained of one and two frequencies respectively. The misclassification probabilities were computed and compared for the various choices of features. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1976
Accession Number
ADA040445

Entities

People

  • A. A. Ksienski

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Airplanes
  • Classification
  • Detection
  • Electrical Engineering
  • Electromagnetic Scattering
  • Frequency
  • Gaussian Noise
  • Identification
  • Information Processing
  • Inverse Scattering
  • Machine Learning
  • Pattern Recognition
  • Recognition
  • Scattering
  • Target Detection

Fields of Study

  • Engineering
  • Physics

Readers

  • Computer Networking
  • Radar Systems Engineering.
  • Regression Analysis.