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Volumn , Issue , 2006, Pages 1804-1807

Reducing computational complexity in hyperspectral anomaly detection: A feature level fusion approach

Author keywords

Anomaly detection; Computational load reduction; Hyperspectral signal processing

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; SENSORS;

EID: 34948861021     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.466     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 1
    • 0025508756 scopus 로고
    • Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
    • Oct
    • X. Yu and I. Reed, "Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution", IEEE Transaction on Acoustic, Speech, and Signal Processing, Vol. 38, N. 10, Oct. 1990, pp. 1760-1770.
    • (1990) IEEE Transaction on Acoustic, Speech, and Signal Processing , vol.38 , Issue.10 , pp. 1760-1770
    • Yu, X.1    Reed, I.2
  • 4
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implication for noise removal
    • Jan
    • A.A. Green, M. Berman, P. Switzer and M.D. Craig, "A transformation for ordering multispectral data in terms of image quality with implication for noise removal", IEEE Trans. on Geoscience and Remote Sensing, Vol. 26, Jan. 1988, pp. 65-74.
    • (1988) IEEE Trans. on Geoscience and Remote Sensing , vol.26 , pp. 65-74
    • Green, A.A.1    Berman, M.2    Switzer, P.3    Craig, M.D.4
  • 5
    • 34948835980 scopus 로고    scopus 로고
    • http://eo1.gsfc.nasa.gov/Technology/Hyperion.html.
  • 6
    • 34948889004 scopus 로고    scopus 로고
    • http://aviris.jpl.nasa.gov/html/aviris.instrument.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.