Threat Evaluation of Aerial Targets in an Air Defense System Using Bayesian Networks
| Autor: | Karl Heinz Kienitz, Jose F. B. Brancalion |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Relation (database) Computer science Bayesian network 02 engineering and technology Computer security computer.software_genre Asset (computer security) Domain (software engineering) Identification (information) Information fusion 020901 industrial engineering & automation Work (electrical) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing computer |
| Zdroj: | DASC/PiCom/DataCom/CyberSciTech |
| DOI: | 10.1109/dasc-picom-datacom-cyberscitec.2017.151 |
| Popis: | The purpose of an Air Defense System is to evaluate the air scenario and identify hostile aircraft that represent a real threat to the assets and people of one country. Decision makers in such system are faced today with the challenge of processing and evaluating an increasing amount of data originated from different, and sometimes conflicting, sources. This work covers the information fusion in the domain of reconnaissance (including the automatic identification and classification) of targets with hostile behaviors in relation to one asset located on the ground. This survey proposes the use of a Bayesian network for detecting, classifying and evaluating the threatening level of hostile aircraft. |
| Databáze: | OpenAIRE |
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