Adapted Waveform Analysis for ATDIR.

Abstract

This research aims at improving most steps involved in the ATD/R process, starting with preprocessing, including denoising, segmentation, background and clutter removal and followed by feature extraction and definition to enhance the classification and recognition process. These steps are directly tied to fast numerical algorithms whose purpose is to enable real time ATD/R The toolkit developed in this project is currently being successfully used by Martin Marietta to enhance their Radar return ATR and by Hughes Research Labs for Fast Radar return simulations.

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Document Details

Document Type
Technical Report
Publication Date
May 12, 1997
Accession Number
ADA326111

Entities

People

  • R. Coifman
  • Vladimir Rokhlin

Organizations

  • Yale University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Applied Mathematics
  • Automatic
  • Classification
  • Computer Vision
  • Equations
  • Extraction
  • Feature Extraction
  • Frequency
  • Gaussian Quadrature
  • Mathematics
  • Numerical Analysis
  • Preprocessing
  • Recognition
  • Removal
  • Waveforms

Readers

  • Computer Vision.

Technology Areas

  • AI & ML