Feature Set Evaluation for Classifiers

Abstract

The activity meet the following five technical objectives: (1) identify and propose a collection of feature set evaluation algorithmic tools which address unique characteristics of feature sets used in ATR applications. (2) implement at least one new promising feature set evaluation algorithm in FORTRAN and integrate it within the On-Line Pattern Analysis and Recognition System (OLPARS), which is an existing commercial software system which provides general purpose feature set evaluation and classifier design capabilities. (3) demonstrate the performance of the new feature set evaluation algorithms already within OLPARS using feature sets derived from both real and simulated E/O imagery. (4) provide DoD with a licensed VAX-compatible copy of the augmented OLPARS software package. (5) document the proposed new feature set evaluation algorithm and the test results obtained with the newly implemented algorithm within a final technical report.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA226903

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Programs
  • Computers
  • Contracts
  • Covariance
  • Data Sets
  • Debugging
  • Experimental Data
  • Graphics
  • Identification
  • Machine Learning
  • Optical Detectors
  • Pattern Recognition
  • Probability
  • Recognition
  • Target Recognition

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Computer Vision.