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Accession Number:
ADA616785
Title:
Probabilistic Tracklet Characterization and Prioritization Using Admissible Regions
Descriptive Note:
Conference paper
Corporate Author:
AIR FORCE RESEARCH LAB KIHEI MAUI HI DETACHMENT 15
Report Date:
2014-09-01
Pagination or Media Count:
30.0
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.
Distribution Statement:
APPROVED FOR PUBLIC RELEASE