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Volumn , Issue , 2001, Pages 309-315

Using feature-vector based analysis, based on principal component analysis and independent component analysis, for analysing hyperspectral images

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; MIXTURES; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY;

EID: 19644376412     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAP.2001.957027     Document Type: Conference Paper
Times cited : (11)

References (8)
  • 2
    • 0000466122 scopus 로고    scopus 로고
    • Survey on independent component analysis
    • A. Hyvarinen. Survey on independent component analysis. Neural Computing Surveys, 2.94-128, 1999.
    • (1999) Neural Computing Surveys , vol.2 , pp. 94-128
    • Hyvarinen, A.1
  • 3
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • A. Hyvarinen and E. Oja. Independent Component Analysis: Algorithms and Applications. Neural Networks, 13(4-5):411-430, 2000.
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 4
    • 84890464331 scopus 로고    scopus 로고
    • Feature-vector based analysis: A unified concept for multivariate image analysis
    • H. Hamid Muhammed. Feature-Vector Based Analysis: A Unified Concept for Multivariate Image Analysis. Manuscript. 2001.
    • (2001) Manuscript.
    • Hamid Muhammed, H.1
  • 5
    • 0021077626 scopus 로고
    • Satellite observations of ocean colour
    • I. S. Robinson. Satellite observations of ocean colour. Phil. Trans. Roy. Soc. London, A309 415-432. 1983.
    • (1983) Phil. Trans. Roy. Soc. London , vol.A309 , pp. 415-415
    • Robinson, I.S.1
  • 7
    • 84890471213 scopus 로고    scopus 로고
    • MIT Hyper-textbook Photosynthesis Chapter
    • MIT Hyper-textbook Photosynthesis Chapter, available at: http://esg-www.mit.edu:8001/esgbio/ps/psdir.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.