Statistical framework for decision making in mine action

Jan Larsen

AbstractThe lecture discusses the basics of statistical decision making in connection with humanitarian mine action. There is special focus on: 1) requirements for mine detection; 2) design and evaluation and confidence of mine equipment; 3) efficient mine action by hierarchical approaches; 4) performance improvement by statistical learning and information fusion; 5) the advantage of using combined methods.
Keywordsmine actiion, statistics, bayesian learning, signal processing, fusion, combined, area reduction, survey
TypeMisc [Presentation]
Year2007    Month October
PublisherISP Gorup, Informatics and Mathematical Modelling, Tehcnical University of Denmark
AddressRichard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby, Denmark
NoteNDRF Post Grauate Education Seminar held 6-7 October, Hevring, Denmark
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Publication link
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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