Wavelet Based Feature Extraction for Target Recognition and Minefield Detection

Abstract

The P.I. spent the summer at the Naval Surface Warfare Center (NSWC) in Dahlgren, VA, working, on the project and providing general technical assistance and education to NSWC personnel. Productive collaboration included: development of Matlab demonstration suite (with Ron Gross), optimizing RF absorption characteristics of multilayer rubber surfaces (with Jack Shuler), and wavelet theory (with Addison Jump). Ph.D. student Steven Moore was self supporting for 1999; the grant instead supported two Masters' students (Alan Calder and Kevin Conrad) who did supporting software development. Research accomplishments include: implementation of simulated annealing algorithm; implementation of 1-D and 2-D Discrete Wavelet Transform; parameterization of various wavelet spaces (orthonormal wavelets, symmetric complex orthonormal wavelets, symmetric biorthogonal wavelets of odd and even lengths, and symmetric biorthogonal wavelets of odd and even lengths having specified order of regularity); development of wavelet demonstration software suite with Ron Gross (NSWC); presentation of course "Wavelets and Filter Banks" to NSWC personnel; application of simulated annealing to optimize RF absorption characteristics of multilayer surfaces; generalization of wavelet transform to M-band wavelets; algorithm to generate a wavelet filter bank using any filter whatsoever as the analysis filter; implementation of an algorithm to parameterize all M-band paraunitary filter banks.

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Document Details

Document Type
Technical Report
Publication Date
Nov 20, 1999
Accession Number
ADA371103

Entities

People

  • Barry G. Sherlock

Organizations

  • University of North Carolina at Charlotte

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Absorption
  • Algorithms
  • Annealing
  • Demonstrations
  • Detection
  • Extraction
  • Feature Extraction
  • M Band
  • Minefields
  • Recognition
  • Software Development
  • Students
  • Target Recognition
  • Teamwork
  • Two Dimensional
  • Warfare
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Military History
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • Space
  • Space - Space Objects