Passive Autonomous Infrared Sensor Technology.

Abstract

This study was conducted in response to the DoD's need for establishing understanding of algorithm's modules for passive infrared sensors and seekers and establishing a standardized systematic procedure for applying this understanding to DoD applications. We quantified the performances of Honeywell's Background Adaptive Convexity Operator Region Extractor (BACORE) detection and segmentation, modules, as functions of a set of image metrics for both single-frame and multiframe processing. We established an understanding of the behavior of the BACORE's internal parameters. We characterized several sets of stationary and sequential imagery and extracted TIR squared, TBIR squared, ESR, and range for each target. We generated a set of performance models for multi-frame processing BACORE that could be used to predict the behavior of BACORE in image metric space. A similar study was conducted for another of Honeywell's segmentors, namely Texture Boundary Locator (TBL), and its performances were quantified. Finally, a comparison of TBL and BACORE on the same data base and same number of frames was made.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1987
Accession Number
ADA188698

Entities

People

  • Firooz Sadjadi

Organizations

  • Honeywell International, Inc.

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Boundaries
  • Classification
  • Computer Vision
  • Data Sets
  • Databases
  • Defense Systems
  • Detection
  • Detectors
  • False Alarms
  • Image Processing
  • Infrared Detectors
  • Plastic Explosives
  • Security
  • Target Detection
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Image Processing and Computer Vision.

Technology Areas

  • Space
  • Space - Space Objects