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LI Xiao-dong, GUO Zhong-yang, ZHU Yan-ling, DAI Xiao-yan. Artificial neural network classification of wetland integrating GIS data: A case study of Dongtan wetland in Chongming, Shanghai[J]. Journal of East China Normal University (Natural Sciences), 2010, (4): 26-34.
Citation:
LI Xiao-dong, GUO Zhong-yang, ZHU Yan-ling, DAI Xiao-yan. Artificial neural network classification of wetland integrating GIS data: A case study of Dongtan wetland in Chongming, Shanghai[J]. Journal of East China Normal University (Natural Sciences), 2010, (4): 26-34.
LI Xiao-dong, GUO Zhong-yang, ZHU Yan-ling, DAI Xiao-yan. Artificial neural network classification of wetland integrating GIS data: A case study of Dongtan wetland in Chongming, Shanghai[J]. Journal of East China Normal University (Natural Sciences), 2010, (4): 26-34.
Citation:
LI Xiao-dong, GUO Zhong-yang, ZHU Yan-ling, DAI Xiao-yan. Artificial neural network classification of wetland integrating GIS data: A case study of Dongtan wetland in Chongming, Shanghai[J]. Journal of East China Normal University (Natural Sciences), 2010, (4): 26-34.
This paper took Dongtan wetland in Chongming Island, Shanghai, as a case study; using the PCA outputs of TM surface feature spectrum, NDVI, MNDWI, DEM and the GIS data as inputting elements of an Artificial Neural Network (ANN), combined with improved BP algorithm, an ANN classification was applied to the Dongtan wetland. The results show that the ANN classification method improves the classification accuracy, and can effectively distinguish those objects with similar TM spetra.
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