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Considerations for enhancing situation assessment through multi-level fusion of hard and soft data

Garcia, Jesus
•
Rein, Kellyn
•
Biermannn, Joachim
altro
SNIDARO, Lauro
2016
  • conference object

Abstract
This paper presents several lessons learned from the ongoing work of NATO IST-132 RTG-063 which is focused on data and information fusion incorporating structured and unstructured human generated information with device-generated data. Recommendations for the synergic information processing between low and high level fusion applications using soft and hard data will be discussed. A second topic of discussion is domain and threat modelling that takes into account the dimensions of low- and high-level fusion and hard and soft data. These aspects will be discussed using the experience gained in a small live experiment conducted by the Task Group.
WOS
WOS:000391273400284
Archivio
http://hdl.handle.net/11390/1105555
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84992036686
Diritti
closed access
Soggetti
  • domain modelling

  • hard data fusion

  • multi-level

  • soft data fusion

  • threat modelling

  • uncertainty

  • Statistics, Probabili...

  • Computer Science Appl...

  • Computer Vision and P...

  • Signal Processing

Visualizzazioni
3
Data di acquisizione
Apr 19, 2024
Vedi dettagli
google-scholar
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