Image-Based Automatic Target Recognition

Abstract

An image-based automatic target recognition (IATR) is basically a tactical decision aid that integrates all of the available information and produces a dynamic composite picture of a target for visualization and evaluation by an operator. In modem warfare, it has become an indispensable tool for precision strikes and surveillance missions of defense weapon systems. An IATR processes imagery data received from diverse imaging sensors for the purpose of target detection and recognition in real time. Using Wavelet Transforms, images are fused at different resolution levels to obtain a fused image. It has also been demonstrated that fusing the wavelet coefficient images directly can enhance the recognition contents of the image. This composite image contains all the information of interest for an IATR. In addition, an evaluation methodology based on visual perception and on statistical properties of the fused image is presented.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA378086

Entities

People

  • Mahmould A. Abdallah
  • Ram-nandan P. Singh

Organizations

  • Naval Air Systems Command

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Automatic
  • Command And Control Systems
  • Control Systems
  • Data Processing
  • Detection
  • Detectors
  • Image Processing
  • Pattern Recognition
  • Recognition
  • Satellite Imaging
  • Standards
  • Statistics
  • Synthetic Aperture Radar
  • Target Recognition
  • Visual Perception
  • Warning Systems

Readers

  • Image Processing and Computer Vision.
  • Marine Hydrodynamics
  • Neural Network Machine Learning.