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Volumn 5425, Issue , 2004, Pages 1-14

The sequential maximum angle convex cone (SMACC) endmember model

Author keywords

Convex cone; Endmember; Hyperspectral; Simplex

Indexed keywords

ERROR ANALYSIS; IMAGE ANALYSIS; MATRIX ALGEBRA; REAL TIME SYSTEMS; SIGNAL TO NOISE RATIO; VECTORS; VISUALIZATION;

EID: 10444268147     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.543794     Document Type: Conference Paper
Times cited : (243)

References (13)
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    • Boardman, J.W.1
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    • M.D. Craig, "Minimum-Volume Transformations for Remotely Sensed Data, " IEEE Trans. Geoscience and Remote Sensing, 32, 542-552, (1994).
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    • Fuhrmann, D.R.1
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    • Use of filter vectors and fast convex set methods in hyperspectral analysis
    • Australia, November
    • P. Palmadesso, J. Antoniades, M. Baumback, J. Bowles and L. J. Rickard, "Use of Filter Vectors and Fast Convex Set Methods in Hyperspectral Analysis," ISSSR, Australia, November (1995).
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    • Palmadesso, P.1    Antoniades, J.2    Baumback, M.3    Bowles, J.4    Rickard, L.J.5
  • 11
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    • End-member bundles: A new approach to incorporating end-member variability into spectral mixture analysis
    • A.C. Bateson, G.P. Asner, and C.A. Wessman, "End-member Bundles: A New Approach to Incorporating End-member Variability into Spectral Mixture Analysis," IEEE Transactions on Geosci. and Remote Sensing, 38, 1083-1094, (2000).
    • (2000) IEEE Transactions on Geosci. and Remote Sensing , vol.38 , pp. 1083-1094
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.