Object Recognition Methodology for the Assessment of Multi-Spectral Fusion Algorithms: Phase I

Abstract

In this effort we acquired and registered a multi-spectral dynamic image test set with the intent of using the imagery to assess the operational effectiveness of static and dynamic image fusion techniques for a range of relevant military tasks. This paper describes the image acquisition methodology, the planned human visual performance task approach, the lessons learned during image acquisition and the plans for a future, improved image set, resolution assessment methodology and human visual performance task.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA520827

Entities

People

  • Alan R. Pinkus
  • Alexander Toet
  • H. Lee Task

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Automatic Weapons
  • Computer Vision
  • Detection
  • Detectors
  • Digital Images
  • Grenade Launchers
  • Image Processing
  • Infrared Detectors
  • Lessons Learned
  • Long-Wavelength Infrared Radiation
  • Machine Guns
  • Object Recognition
  • Recognition

Readers

  • Computer Vision.
  • Defense Acquisition Program Management