基于决策树模型的湿地信息挖掘与结果分析
Wetland Information Extraction Based on Decision Tree Model
查看参考文献13篇
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文摘
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目前湿地成为地学、生态学研究热点，如何快速获得区域内湿地基础信息，对实现湿地的动态监测及其他领域研究具有重要意义。本文在引入地学知识的基础上，设计并实现了两景研究区不同时相影像的湿地信息提取决策树模型。评价结果显示Kappa系数均较高，分别为0．88和0．91，表明该模型快速提取湿地信息有一定应用价值。 |
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其他语种文摘
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Wetlands provide a range of environmental and socio-economic benefits, which range from their ability to store floodwater, improve water quality, provide habitats for wildlife and to support biodiversity and aesthetic values. The loss of wetlands, which was caused as a result of urbanization sprawl, and land cover change, has gained considerable attention now. The utilization of satellite remote sensing and GIS technology for wetland information extracting and dynamic monitoring has proven to be a useful application. The objective of this study was to find more efficient way to extract wetland information from remote sensing data. Decision tree models were designed and carried out for extracting wetland dynamic change information from TM/ETM＋ image, which acquired on April 9, 1988 and March 4, 2001 respectively. And the results show that the precision is pretty high and satisfactory. |
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来源
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地球信息科学
,2007,9(2):60-64,73 【扩展库】
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关键词
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湿地
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遥感
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信息提取
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决策树模型
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闽江河口区
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地址
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福建师范大学地理科学学院, 福州, 350007
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1560-8999 |
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学科
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自然地理学 |
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基金
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福建师范大学地理科学学院新世纪优秀人才资助项目
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文献收藏号
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CSCD:2881401
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