Tracking Targets with Specified Spectra Using the H-PMHT Algorithm

Abstract

The H-PMHT algorithm is applied to sensor-level, multi-target tracking problems in which target and noise power spectra are assumed to be specified a priori. The resulting algorithm, based on the expectation-maximization method, is equivalent to a bank of iteratively reweighted smoothing filters. These results constitute a potentially important algorithm for tracking multiple targets in hyperspectral Image sequences.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2001
Accession Number
ADA562358

Entities

People

  • Roy L. Streit

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Bayes Theorem
  • Broadband
  • Cell Structure
  • Cells
  • Equations
  • Estimators
  • Frequency
  • Kalman Filters
  • Multiple Hypothesis Tracking
  • Multitarget Tracking
  • Power Spectra
  • Spectra
  • Target Tracking
  • Undersea Warfare
  • Warfare

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.