30 October 2009 The extraction of remote sensing information of wetland based on ANFIS
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74983K (2009); doi: 10.1117/12.833578
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
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Zhoulong Wang, Haijiang Wang, Anding Zhang, Mengquan Wu, "The extraction of remote sensing information of wetland based on ANFIS", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983K (30 October 2009); doi: 10.1117/12.833578; https://doi.org/10.1117/12.833578
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KEYWORDS
Remote sensing

Data centers

Fuzzy logic

Neural networks

Data modeling

Image classification

Fuzzy systems

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