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Proceedings Paper

The extraction of remote sensing information of wetland based on ANFIS
Author(s): Zhoulong Wang; Haijiang Wang; Anding Zhang; Mengquan Wu
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Paper Abstract

The paper explorers the application of ANFIS (Adaptive Network-based Fuzzy Inference System) in the extraction of remote sensing information of wetland, which integrates the advantages of fuzzy inference and neural network. Firstly, the paper discusses characteristics, principles and process of the method. Secondly, Taking the wetland of Yellow River Delta in KenLi County as the experimental area, it analysis the extraction of remote sensing information of wetland based on ANFIS. Finally, it compares the extraction result of the method with the traditional classification method, in which show ANFIS's better performance.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983K (30 October 2009); doi: 10.1117/12.833578
Show Author Affiliations
Zhoulong Wang, Ludong Univ. (China)
Haijiang Wang, Ludong Univ. (China)
Anding Zhang, Ludong Univ. (China)
Mengquan Wu, Ludong Univ. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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