Multi-Sensor Feature Level Fusion

Abstract

The Multi-Sensor Feature Level Fusion (MSFLF) program is intended to improve automatic target recognition (ATR) performance by the use of multi- sensor feature techniques. MSFLF algorithms are evaluated using multi-sensor (8- 12m FLIR, 94GHz MMW radar and 10.6 micron CO2 laser radar) data and imagery. This report gives the results of target detection and identification using the MSFLF training IR imagery. A set of image quality measures are defined and computed over the imagery. These quality measures suggest that performance should be better for the training imagery than for the test imagery. An overview of the FLIR and MMW radar algorithms, detailed descriptions of the IR target detection and identification algorithms are presented in a separate proprietary report.

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Document Details

Document Type
Technical Report
Publication Date
May 22, 1991
Accession Number
ADA237106

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Armored Personnel Carriers
  • Data Science
  • Data Sets
  • Defense Systems
  • Detection
  • Detectors
  • False Alarms
  • Identification
  • Infantry Fighting Vehicles
  • Information Science
  • Millimeter Wave Radar
  • Recognition
  • Statistics
  • Target Detection
  • Target Recognition
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Radar Systems Engineering.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • Directed Energy