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Volumn 4716, Issue , 2002, Pages 128-137

Automated anomaly detection processor

Author keywords

Anomaly detection; Bayesian analysis; Neural net; Surveillance; Tracking

Indexed keywords

AUTOMATIC TARGET RECOGNITION; COMPUTER SIMULATION; NEURAL NETWORKS; OPTICAL SENSORS;

EID: 0036030750     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.474940     Document Type: Article
Times cited : (45)

References (3)
  • 1
    • 24944525010 scopus 로고    scopus 로고
    • Springer-Verlag, New York
    • rd ed., Springer-Verlag, New York, 2001.
    • (2001) rd ed.
    • Kohonen, T.1
  • 2
    • 0035759145 scopus 로고    scopus 로고
    • Multisensor fusion effects on the characterization and optimization of TPED architecture performance
    • Enabling Technology for Simulation Science V, A. Sisti and D. Trevisani (eds.)
    • J. Kraiman, "Multisensor Fusion Effects on the Characterization and Optimization of TPED Architecture Performance," in Enabling Technology for Simulation Science V, A. Sisti and D. Trevisani (eds.), Proc. of SPIE 4367, 2001.
    • (2001) Proc. Of SPIE , vol.4367
    • Kraiman, J.1
  • 3
    • 0033698740 scopus 로고    scopus 로고
    • Modeling and simulation of the ISR tasking, processing, exploitation, and dissemination (TPED) process
    • Enabling Technology for Simulation Science IV, A. Sisti (ed.)
    • J. Kraiman, B. Kingston, and J. Muccio, "Modeling and simulation of the ISR tasking, processing, exploitation, and dissemination (TPED) process," in Enabling Technology for Simulation Science IV, A. Sisti (ed.), Proc. of SPIE 4026, 2000.
    • (2000) Proc. Of SPIE , vol.4026
    • Kraiman, J.1    Kingston, B.2    Muccio, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.