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Volumn 2003-January, Issue , 2003, Pages 316-319

Hyperspectral image processing using locally linear embedding

Author keywords

Charge coupled image sensors; Clustering algorithms; Electromagnetic spectrum; Embedded computing; Hyperspectral imaging; Image generation; Image processing; Image resolution; Layout; Spatial resolution

Indexed keywords

ALGORITHMS; IMAGE PROCESSING; IMAGE RESOLUTION; INDEPENDENT COMPONENT ANALYSIS; MAPPING; PHOTOMAPPING; PIXELS; SPECTROSCOPY;

EID: 84942613317     PISSN: 19483546     EISSN: 19483554     Source Type: Conference Proceeding    
DOI: 10.1109/CNE.2003.1196824     Document Type: Conference Paper
Times cited : (72)

References (7)
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  • 2
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    • Roweis, S.T.1    Saul, L.K.2
  • 3
    • 0035309562 scopus 로고    scopus 로고
    • Efficient detection in hyperspectral imagery
    • April
    • Schweizer, S.M., Moura, J.M.F., "Efficient detection in hyperspectral imagery," IEEE T on Image Processing, Vol. 10, pp 584 -597, April 2001.
    • (2001) IEEE T on Image Processing , vol.10 , pp. 584-597
    • Schweizer, S.M.1    Moura, J.M.F.2
  • 4
    • 0033378473 scopus 로고    scopus 로고
    • Finding new mineral prospects with HYMAP: Early results from a hyperspectral remote-sensing case study in west Pilbara
    • November
    • P. Bierwirth, R. Blewett, D. Huston, "Finding new mineral prospects with HYMAP: early results from a hyperspectral remote-sensing case study in west Pilbara," ASGO Research Newsletter, Vol 31, pp 29-31, November 1999.
    • (1999) ASGO Research Newsletter , vol.31 , pp. 29-31
    • Bierwirth, P.1    Blewett, R.2    Huston, D.3
  • 5
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • December
    • J.B. Tenenbaum, V.de Silva, J.C. Langford, " A Global Geometric Framework for Nonlinear Dimensionality Reduction," Science, vol 290, pp 2319-2323, December 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.