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Landsat TM multispectral classification using support vector machine method in low-hill areas

Author(s):
  • Zhao, S. ( Peking Univ. (China) )
  • Ke, C. ( Nanjing Univ. (China) )
  • Dong, X. ( Nanjing Univ. (China), Ctr. for Agrometeorology and Remote Sensing Application of Yunnan(China) )
  • Li, J. ( Nanjing Univ. (China) )
  • Feng, X. ( Nanjing Univ. (China) )
Publication title:
Image processing and pattern recognition in remote sensing II :8-9 November 2004, Honolulu, Hawaii, USA
Title of ser.:
Proceedings of SPIE - the International Society for Optical Engineering
Ser. no.:
5657
Pub. Year:
2005
Page(from):
82
Page(to):
89
Pages:
8
Pub. info.:
Bellingham, Wash.: SPIE - The International Society of Optical Engineering
ISSN:
0277786X
ISBN:
9780819456182 [0819456187]
Language:
English
Call no.:
P63600/5657
Type:
Conference Proceedings

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