Hydrophytes extraction from Landsat TM multi-spectral image in Taihu Lake, China: an approach of decision tree

Chunhong Wang; Shuhe Zhao; Ronghua Ma; Wei Tang; Shouxuan Zhang

doi:10.1117/12.760712

26 July 2007 Hydrophytes extraction from Landsat TM multi-spectral image in Taihu Lake, China: an approach of decision tree

Chunhong Wang, Shuhe Zhao, Ronghua Ma, Wei Tang, Shouxuan Zhang

Author Affiliations +

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67522C (2007) https://doi.org/10.1117/12.760712
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Chunhong Wang, Shuhe Zhao, Ronghua Ma, Wei Tang, and Shouxuan Zhang "Hydrophytes extraction from Landsat TM multi-spectral image in Taihu Lake, China: an approach of decision tree", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67522C (26 July 2007); https://doi.org/10.1117/12.760712

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