| 结合GIS数据的神经网络湿地遥感分类方法:以上海崇明岛东滩湿地为例 |
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| 引用本文： | 栗小东,过仲阳,朱燕玲,戴晓燕.结合GIS数据的神经网络湿地遥感分类方法:以上海崇明岛东滩湿地为例[J].华东师范大学学报(自然科学版),2010,2010(4):26-34. |
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| 作者姓名： | 栗小东 过仲阳 朱燕玲 戴晓燕 |
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| 作者单位： | 1. 华东师范大学,地理信息科学教育部重点实验室,上海,200062
2. 华东师范大学,河口海岸学国家重点实验室,上海,200062 |
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| 基金项目： | 海洋公益性行业重点项目，上海市科委重点项目 |
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| 摘 要： | 以上海崇明岛东滩湿地为例,利用改进的BP算法结合主成分分析,将光谱信息的主成分、NDVI、MNDWI以及GIS数据作为神经网络的输入参数对东滩湿地进行神经网络分类.结果表明,神经网络分类能够有效的提高分类的精度,适合湿地分类.
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| 关 键 词： | 湿地 遥感分类 神经网络 湿地 遥感分类 神经网络 |
| 收稿时间： | 2009-6-1 |
| 修稿时间： | 2009-10-1 |
Artificial neural network classification of wetland integrating GIS data: A case study of Dongtan wetland in Chongming, Shanghai |
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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 Science),2010,2010(4):26-34. |
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| Authors: | LI Xiao-dong GUO Zhong-yang ZHU Yan-ling DAI Xiao-yan |
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| Institution: | 1. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China;
2. State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China |
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| Abstract: | 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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| Keywords: | wetland remote sensing classification ANN |
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