Combination of Multiple Classifiers for Mapping Aquatic Vegetation Using Satellite Imagery
Combination of Multiple Classifiers for Mapping Aquatic Vegetation Using Satellite Imagery
复制标题
使用卫星图像绘制水生植被图的多个分类器的组合
DOI：
10.4156/jcit.vol7.issue19.64
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发表时间：
2012-10
期刊：
影响因子：
--
通讯作者：
Xingliang Mao
中科院分区：
文献类型：
--
作者：
Fangfang Li;Chang Li;Benlin Xiao;Xingliang Mao
Aquatic vegetation plays an important role in the maintenance of wetland biodiversity and ecological function. As the complex spectral characteristics and growth environment, its spatial distribution is affected by many factors. This study investigated the potential of using remote sensing to map aquatic vegetation distribution on a large scale in Honghu Lake, China. According to aquatic vegetation’s ecological characteristics, the study firstly analyzed the selection and extraction of optimal feature images benefiting aquatic vegetation classification. Next, classification knowledge mining based on these feature images was discussed. Finally, a multi-classifier combination method, which combines decision tree classifier, naive bayes classifier and supporting vector machine classifier, was proposed to distinguish different wetland types. Validation using in situ surveys suggested that this approach could get higher accuracy than each single classifier in mapping aquatic vegetation distribution on a large scale.
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影响因子：
3
作者：
T. S. F. Silva;Maycira P. F. Costa;J. Melack;E. Novo
通讯作者：
T. S. F. Silva;Maycira P. F. Costa;J. Melack;E. Novo
影响因子：
2.9
作者：
J. Ehrenfeld
通讯作者：
J. Ehrenfeld
DOI：
--
发表时间：
2002
期刊：
Journal of Central China Normal University
影响因子：
--
作者：
Chen Shi
通讯作者：
Chen Shi
影响因子：
3.8
作者：
Ehrenfeld, JG
通讯作者：
Ehrenfeld, JG
影响因子：
3.4
作者：
S. R. Pal;P. K. Mohanty
通讯作者：
S. R. Pal;P. K. Mohanty