An Evaluation of Shape Methods for Helicopter Classification and Orientation Determination

Abstract

The performance of two competing methods are evaluated for classification and orientation determination accuracy. Helicopter fuselage silhouettes are classified as to their type and orientation. The methods are tested for sensitivity to imaging noise and the reference library sampling density. Under all conditions of imaging noise and library sampling density, the Fourier descriptor method out performs the Walsh points method for helicopter type classification. Helicopter type classification performance for the Fourier method ranges from 99% to 84% even under the most severe conditions examined. In almost all cases, the Fourier method exhibits median angle errors one-half those os the Walsh points method. Median angle errors of one-half the library sampling interval have been attained using the Fourier descriptor method. A scheme for helicopter rotor segmentation and orientation determination including the necessary additional library enhancements is also proposed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA227326

Entities

People

  • Timothy A. Grogan

Organizations

  • Battelle Memorial Institute

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Algorithms
  • Command And Control
  • Computations
  • Computer Graphics
  • Coordinate Systems
  • Engineering
  • Equations
  • Euler Angles
  • Fuselages
  • Helicopters
  • Image Processing
  • Numbers
  • Observers
  • Periodic Functions
  • Recognition

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.