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Proceedings Paper

Hydrophytes extraction from Landsat TM multi-spectral image in Taihu Lake, China: an approach of decision tree
Author(s): Chunhong Wang; Shuhe Zhao; Ronghua Ma; Wei Tang; Shouxuan Zhang
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Paper Abstract

There is important significance for hydrophytes extraction. It is the basis of water pollution control decision. For the purpose of hydrophytes extraction, the vegetation is classified into two species: submersed vegetation and emerged vegetation. And to obtain a better categorization map, three different classification methods as ISODATA, MLC and Decision tree are put forward in the paper. The analysis is performed on the Landsat TM image of Taihu lake acquired in 7, 2002. The result shows that the decision tree classification acquires the best extraction effect.

Paper Details

Date Published: 26 July 2007
PDF: 10 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67522C (26 July 2007); doi: 10.1117/12.760712
Show Author Affiliations
Chunhong Wang, Nanjing Univ. (China)
Shuhe Zhao, Nanjing Univ. (China)
Ronghua Ma, Nanjing Institute of Geography and Limnology (China)
Wei Tang, Nanjing Univ. (China)
Shouxuan Zhang, Nanjing Institute of Geography and Limnology (China)


Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)

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