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A least-squares approach to fully constrained linear spectral mixture analysis using linear inequality constraints

Author(s):
  • Sun, Z. ( Univ. of Maryland/Baltimore County (USA) )
  • Chang, C.-I. ( Univ. of Maryland/Baltimore County (USA) and U.S. Army Edgewood Chemical and Biological Ctr. (USA) )
  • Ren, H. ( U.S. Army Edgewood Chemical and Biological Ctr. (USA) )
  • D'Amico, F.M. ( U.S. Army Edgewood Chemical and Biological Ctr. (USA) )
  • Jensen, J.O. ( U.S. Army Edgewood Chemical and Biological Ctr. (USA) )
Publication title:
Imaging spectrometry IX : 6-7 August 2003, San Diego, California, USA
Title of ser.:
Proceedings of SPIE - the International Society for Optical Engineering
Ser. no.:
5159
Pub. Year:
2003
Page(from):
349
Page(to):
360
Pages:
12
Pub. info.:
Bellingham, Wash.: SPIE - The International Society of Optical Engineering
ISSN:
0277786X
ISBN:
9780819450326 [0819450324]
Language:
English
Call no.:
P63600/5159
Type:
Conference Proceedings

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