Stationary/Slowly Moving Target Detection in Strong Background Clutter

Abstract

This report presents the maximum likelihood approach to nonmoving resolved/partially resolved target extraction from correlated images that can be extended to the underresolved, weak target case by restructuring the basic problem development in terms of the inherent two-dimensional aspects found in most remotely sensed images. The report also outlines the research required to extend application of the restructured development to an optimum processing approach for detecting stationary or slowly moving targets in clutter.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1986
Accession Number
ADA172225

Entities

People

  • Larry B Stotts

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Data Science
  • Databases
  • Detection
  • Detectors
  • Digital Images
  • Dual Channel
  • Image Processing
  • Images
  • Information Processing
  • Information Science
  • Probability
  • Probability Density Functions
  • Signal Processing
  • Statistical Processes
  • Statistics
  • Target Detection
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.