Rapid Target Modeling Through Genetic Inheritance Mechanism Genetically Evolved Target Prototypmg (GETP). Phase I

Abstract

This report describes a Genetic Evolution Target Prototyping (GETP) methodology for rapid target model development and validation from limited initial sensory and technical data. The Phase I developed methodology generates new target signatures of a given target from an initial signature database by utilizing the power of genetic inheritance. Developed methodology allows for an expansion of the initial signature database and extensive testing of ATR systems over a variety of realistic signatures and situations not seen so far. The methodology utilizes a power of genetic inheritance to generate new signatures of a given target from a limited set of initial signatures. Initial signatures are represented by blob models. They are transformed into a string representation, a representation suitable for the genetic processing. The population of strings obtained from a starting set of signatures is subject to genetic evolution. Crossover and mutation operations are applied during each evolutionary cycle to generate new signatures. New signatures in the population are validated according to closeness to a tuning set of signatures. After a number of evolution cycles, signatures in the current population inherit significant resemblance from the initial and tuning subset of signatures and closely resemble signatures to be interpolated.

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Document Details

Document Type
Technical Report
Publication Date
Dec 10, 1996
Accession Number
ADA320475

Entities

People

  • B. K. Gogia
  • Jerzy Bala
  • Peter Pachowicz

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Coding
  • Computer Programming
  • Computer Science
  • Computers
  • Control Systems
  • Databases
  • Detection
  • Genetic Algorithms
  • Personal Information Managers
  • Product Prototyping
  • Recognition
  • Synthetic Aperture Radar
  • Target Recognition
  • Target Signatures
  • Validation

Fields of Study

  • Biology
  • Computer science

Readers

  • Molecular and genetic basis of cancer.
  • Sensor Fusion and Tracking Systems.
  • Software Engineering.

Technology Areas

  • Biotechnology