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

作　　者：严会超[1] 杨海东[2] 肖莉 胡月明[1] 陈飞香[1] 王璐[1] 杨培岭[4] 吴文良[4] 

机构地区：[1]华南农业大学地理信息工程研究所,广州510642 [2]华南理工大学自动化科学与工程学院,广州510640 [3]湖南省土地勘测规划设计院,长沙410000 [4]中国农业大学资源与环境学院,北京100094

出　　处：《农业工程学报》2006年第6期82-86,F0003,共6页Transactions of the Chinese Society of Agricultural Engineering

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)

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。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.

关 键 词：模糊理论 自组织特征映射 GIS 分等 农用地 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]