Scene Analysis: Non-Linear Spatial Filtering for Automatic Target Detection.

Abstract

This work focuses on a method for two-dimensional pattern recognition. The method includes a global search scheme for candidate windows of interest, based on Fourier domain cross-correlation. A method to normalize the input scene by local rectangular regions, in an attempt to efficiently approximate search windown mormalization, is presented. Also developed is a candidate window (potential target) similarity measure, based on the normalized L1 and Euclidean distances, which is independent of the template DC value and its energy. Observations on the performance of the algorithm applied to visual spectrum photographs of tanks in a realistic environment are included. Also included is the software to implement the algorithm on a Data General Eclipse S/250 minicomputer. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA124788

Entities

People

  • James H. Cromer

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Cameras
  • Computations
  • Computer Programs
  • Computers
  • Converters
  • Electrical Engineering
  • Filtration
  • Frequency
  • Image Processing
  • Operating Systems
  • Pattern Recognition
  • Signal Processing
  • Standards
  • Template Patterns
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Seismology
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms