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Volumn , Issue , 2006, Pages 1378-1381

Statistical assessment for real-time background class identification in hyperspectral images

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; OBJECT RECOGNITION; PIXELS; REAL TIME CONTROL; STATISTICAL METHODS;

EID: 34948893887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.358     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 1
    • 18144383997 scopus 로고    scopus 로고
    • Using self-organizing maps for anomaly detection in hyper-spectral imagery
    • B. Penn, "Using self-organizing maps for anomaly detection in hyper-spectral imagery," in IEEE Aerospace Conference Proceedings, vol. 3, 2002, pp. 1531-1535.
    • (2002) IEEE Aerospace Conference Proceedings , vol.3 , pp. 1531-1535
    • Penn, B.1
  • 4
    • 0028184024 scopus 로고
    • Sub-pixel land cover composition estimation using a linear mixture model and fuzzy membership functions
    • G. Foody and D. Cox, "Sub-pixel land cover composition estimation using a linear mixture model and fuzzy membership functions," International Journal of Remote Sensing, vol. 15, pp. 619-631, 1994.
    • (1994) International Journal of Remote Sensing , vol.15 , pp. 619-631
    • Foody, G.1    Cox, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.