Development and Test of a Millimetre-Wave ISAR Images ATR System

Abstract

The Defense R &D Canada - Valcartier is developing an efficient ATR algorithm capable of classifying millimetre-wave images using a back-propagation neural network. This neural network was developed and tested using the MATRIX 2005 ISAR data bank featuring the signatures of T-72, BMP-2, T-62 and the ZSU-23-4. The neural network was developed with MATLAB Toolbox Neural Network 3.02 and the results are compared with the HNet3 ATR system. Specialized M files were developed to evaluate the performance of the neural network providing the confusion matrix and the ROC curves.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA471173

Entities

People

  • Yves De Villers

Organizations

  • DRDC Valcartier

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Classification
  • Detectors
  • Identification
  • Image Classification
  • Image Processing
  • Load Monitoring
  • Machine Learning
  • Millimeter Waves
  • Neural Networks
  • Neurobehavioral Manifestations
  • Peptide Growth Factors
  • Recognition
  • Rotation
  • Target Classification
  • Target Recognition

Readers

  • Neural Network Machine Learning.
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks