A Track Scoring Function Development for Airborne Target Detection Using Dynamic Programming

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Track-before-detect techniques based on dynamic programming have provided solutions for detecting targets from a sequence of images. In its application to airborne threat detection, dynamic programming solutions should take into account the distinguishable properties of objects in a collision course. This paper describes the development of a new track scoring function that accumulates scores for airborne targets in Bayesian framework. Numerical results show that the proposed scoring function has slightly better detection capabilities.
Publisher
KOREAN SOC AERONAUTICAL & SPACE SCIENCES
Issue Date
2012
Language
English
Article Type
Article
Citation

INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, v.13, no.1, pp.99 - 105

ISSN
2093-274X
DOI
10.5139/IJASS.2012.13.1.99
URI
http://hdl.handle.net/10203/174690
Appears in Collection
AE-Journal Papers(저널논문)
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