Detection of Targets in Terrain Clutter by Using Multispectral Infrared Image Processing

Abstract

A weighted-difference signal-processing algorithm for detecting ground targets by using dual-band IR data was investigated. Three variations of the algorithm were evaluated: (1) simple difference; (2) minimum noise; and (3) maximum SNR. The theoretical performance was compared to measured performance for two scenes collected by the NASA TIMS sensor over a rural area near Adelaide, Australia, and over a wooded area near the Redstone Arsenal. The theoretical and measured results agreed extremely well. For a given correlation coefficient and color ratio, the amount of signal-to-noise ratio gain can be predicted. However, target input SNRs and color ratios can vary considerably. For the targets and scenes evaluated here, the typical gains achieved ranged from a few dB loss (targets without color) to a maximum.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA237436

Entities

People

  • J. R. Evans
  • L. E. Bunney
  • L. E. Hoff

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Australia
  • Coefficients
  • Data Analysis
  • Data Sets
  • Databases
  • Detection
  • Detectors
  • False Alarms
  • Ground Clutter
  • Image Processing
  • Images
  • Infrared Images
  • Long-Wavelength Infrared Radiation
  • Plastic Explosives
  • Rural Areas
  • Signal Processing

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Radar Systems Engineering.