FLIR Image Classification Using Hidden Markov Trees, with Comparisons to More-Traditional Algorithms

Abstract

Signal processing algorithms are pursued for the processing of measured forward-looking infrared (FLIR) imagery. Particular algorithms explored include hidden Markov models and independent component analysis.

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Document Details

Document Type
Technical Report
Publication Date
Jan 29, 2002
Accession Number
ADA407122

Entities

People

  • Lawrence Carin

Organizations

  • Duke University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence Software
  • Classification
  • Dimensionality Reduction
  • Feature Extraction
  • Hidden Markov Models
  • Image Classification
  • Image Processing
  • Images
  • Machine Learning
  • Markov Models
  • Military Research
  • Models
  • Scientists
  • Signal Processing
  • Supervised Machine Learning
  • Targets

Readers

  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference