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Volumn 5573, Issue , 2004, Pages 203-214

Physical subspace models for invariant material identification: Subspace composition and detection performance

Author keywords

Hyperspectral imaging; Material identification; Physical subspace models; Target detection

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FORESTRY; IMAGING SYSTEMS; INFRARED RADIATION; MATHEMATICAL MODELS; PATTERN RECOGNITION; SENSORS;

EID: 17644389209     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.565612     Document Type: Conference Paper
Times cited : (6)

References (6)
  • 1
    • 0032209436 scopus 로고    scopus 로고
    • Analyzing the spectral dimensionality of outdoor visible and near-infrared illumination functions
    • Slater, D. and Healey G., "Analyzing the spectral dimensionality of outdoor visible and near-infrared illumination functions", J. Opt. Soc. Am. A, Vol. 15 (11), pp 2913-2920 (1998).
    • (1998) J. Opt. Soc. Am. A , vol.15 , Issue.11 , pp. 2913-2920
    • Slater, D.1    Healey, G.2
  • 2
    • 0033225639 scopus 로고    scopus 로고
    • Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions
    • Healey, G. and Slater, D., "Models and Methods for Automated Material Identification in Hyperspectral Imagery Acquired Under Unknown Illumination and Atmospheric Conditions", IEEE Trans. Geosci. Rem. Sens. Vol 37 (6), pp 2706-2717 (1999).
    • (1999) IEEE Trans. Geosci. Rem. Sens. , vol.37 , Issue.6 , pp. 2706-2717
    • Healey, G.1    Slater, D.2
  • 6
    • 17644384675 scopus 로고    scopus 로고
    • For more information, see www.neo.no/ASI.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.