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模糊SOFM-GIS空间聚类模型在农用地分等中的应用

Fuzzy SOFM-GIS space evaluation model and its application in farmland classification

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【Author】 Yan Huichao~(1,4),Yang Haidong~2,Xiao Li~3,Hu Yueming~(1※),Chen Feixiang~1,Wang Lu~1,Yang Peiling~4,Wu Wenliang~4(1.Geographic Information Institute,South China Agricultural University,Guangzhou,510642,China;2.Institute of Automation,South China University of Technology,Guangzhou 510640,China;3.Hunan Land Surveying and Planning Institute,Changsha 410000,China;4.College of Resources and Environment,China Agricultural University,Beijing 100094,China)

【机构】华南农业大学地理信息工程研究所；华南理工大学自动化科学与工程学院；湖南省土地勘测规划设计院；中国农业大学资源与环境学院；中国农业大学资源与环境学院广州510642；北京100094；广州510640；长沙410000；广州510642；

【摘要】针对目前农用地分等方法中的存在的不足之处,提出将模糊理论、自组织特征映射(Se lf-O rgan iz ing F eature M ap,SOFM)网络与G IS相结合,构造出一种新的农用地分等模型—模糊SOFM-G IS空间聚类模型。并利用此模型对广东省高要市农用地进行农用地分等评价,结果表明采用模糊SOFM-G IS空间聚类模型进行农用地分等评价具有稳定、结果可靠等特点。更多还原

【Abstract】 Based on the shortage of the classification methods in the farmland,fuzzy theory,self-organizing(feature) map network,and GIS were integrated to develop a Fuzzy SOFM-GIS Space classification Model.The(feasibility) of applying the Fuzzy SOFM-GIS Space classification Model to classify the farmland in the Gaoyao city in Guangdong Province was investigated and verified.The results show that by using Fuzzy SOFM-GIS Space classification Model classifying the farmland is stable and reliable,the nature quality rating in farmland is(ⅩⅩⅦ) to(ⅩⅩⅩ),area is 32089.2 hm~2,accounting for a percentage of 86.4% of the sum farmland area of the Gaoyao.更多还原

【关键词】模糊理论；自组织特征映射； GIS；分等；农用地；
【Key words】 fuzzy theory； self-organizing feature map； GIS； classification； farmland；

【基金】国家自然科学基金资助项目(69934030,60573115);广东省自然科学基金资助项目(04300504,011629);广东省科技攻关项目(2004B20701006,2005B10101028);广州市科技攻关项目(2004Z2-E0171)

【文献出处】农业工程学报 ,Transactions of the Chinese Society of Agricultural Engineering , 编辑部邮箱 ,2006年06期

【分类号】TP399
【被引频次】17
【下载频次】474

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