摘要
论文建立了以遥感数据为主要数据源的城市土地集约利用评价指标体系,对城市土地利用遥感影像(IKONOS)特征进行分析,介绍评价指标遥感信息解译方法。在以遥感为主结合调查获取所有指标信息的基础上,应用综合评价和人工神经网络(ANN)模型对城市土地集约利用进行评价,通过评价结果比较,发现人工神经网络模型能够反映自变量和因变量之间的复杂非线性关系,是一种可行的评价方法。因此,论文构建基于遥感和人工神经网络(ANN)作为城市土地集约利用评价的方法体系,并应用其对石家庄市土地集约利用水平进行了评价。实践证明,这种体系构建评价方法更具时效性,实用性更强,工作更快捷、方便,评价结果更为客观。
This paper puts forward the index system of evaluation of land intensive use in metropolis by using RS date which is the primary data source in this system.By analyzing the characteristics of the remote sensing image （IKONOS）,we can therefore interpret the types of urban land use according to the method of RS interpretation.We compared the two methods of integrated evaluation method and artificial neural network （ANN） method by using the index information of potential evaluation of urban land intensive use and found ANN is a feasible evaluation method, which can reflect the complex nonlinear relationship between independent variables and dependent variables.We built the method system to evaluate urban land intensive use based on RS and ANN.This model is applied to evaluate the land intensive use in Shijiazhuang.Practice has proved this kind of evaluation method may be more time-effective,more practicable,more convenient and the appraisal result is more objective.
出处
《自然资源学报》
CSCD
北大核心
2007年第5期775-782,855,共9页
Journal of Natural Resources
基金
中国土地勘测规划院国际合作项目"中国城市增长和耕地保护研究"
河北省国土厅科技项目。
关键词
城市土地
集约利用
遥感
人工神经网络
石家庄
urban land
intensive use
remote sensing
artificial neural network
Shijiazhuang
