Probabilistic Tracklet Characterization and Prioritization Using Admissible Regions

Abstract

This paper introduces and discusses a method to rigorously classify and prioritize UCTs using Bayesian inference and admissible regions. A detailed derivation and discussion of the methodology is given, followed by a generalized de nition of prioritization parameters. Several example prioritization parameters including `time left to detect,' `zero-e ort miss,' and `e ective albedo-area' are motivated and given. A number of illustrative applications with optical UCTs are examined to demonstrate information that can be extracted from each observation. Finally, the information extracted from each UCT is then compared and approaches to observation prioritization discussed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2014
Accession Number
ADA616785

Entities

People

  • Chris Sabol
  • K. K. Luu
  • Keric Hill
  • Marcus J. Holzinger

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Bayesian Inference
  • Celestial Brightness
  • Cemeteries
  • Data Science
  • Detection
  • Geosynchronous Orbits
  • Information Science
  • Low Earth Orbits
  • Observation
  • Probability
  • Probability Distributions
  • Random Variables
  • Slots
  • Space Objects
  • Space Situational Awareness
  • Statistics

Readers

  • Computer Vision.
  • Distributed Systems and Data Platform Development
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference