| 基于GIS和背景数据知识的空间数据库遥感更新研究--以安徽省1:5万土地利用现状数据库为例 |
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| 引用本文： | 蒋旭东,马众模.基于GIS和背景数据知识的空间数据库遥感更新研究--以安徽省1:5万土地利用现状数据库为例[J].安徽地质,2002,12(3):199-203. |
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| 作者姓名： | 蒋旭东 马众模 |
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| 作者单位： | 安徽省农业区划研究所,安徽,合肥,230001 |
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| 基金项目： | 安徽省科技攻关项目;9712001; |
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| 摘 要： | 随着我国社会经济快速发展,地理空间数据库的快速动态更新是迫切需要解决的问题.采用遥感TM图像为数据源,基于GIS对数据操作、管理、显示等良好功能以及背景数据知识,通过地学知识发现和综合建立各地类解译标志,直接在空间背景数据库基础上进行多要素修改变更,具有时间省、工作量小、效率和精度高特点,成功地实现了1:5万土地利用现状数据库一级和部分二级地类2000年时相的快速、准确更新.该方法也可应用于其他相应比例尺地理空间数据库的更新.
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| 关 键 词： | GIS 背景数据 1:5万土地利用现状数据库 遥感更新 |
| 文章编号： | 1005-6157(2002)-0199-05 |
| 修稿时间： | 2002年7月23日 |
ON REMOTE SENSING RENEWAL OF SPATIAL DATABASE BASED ON GIS AND BACKGROUND DATA KNOWLEDGE--AN EXAMPLE FROM 1: 50000 DATABASE FOR THE CURRENT SITUATION OF LAND UTILIZATION OF ANHUI PROVINCE |
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| JIANG Xu-dong,MA Zhong-mo.ON REMOTE SENSING RENEWAL OF SPATIAL DATABASE BASED ON GIS AND BACKGROUND DATA KNOWLEDGE--AN EXAMPLE FROM 1: 50000 DATABASE FOR THE CURRENT SITUATION OF LAND UTILIZATION OF ANHUI PROVINCE[J].Geology of Anhui,2002,12(3):199-203. |
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| Authors: | JIANG Xu-dong MA Zhong-mo |
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| Abstract: | With the rapid development of the society and economy of China, it is in urgent need to renew geographic spatial database quickly and dynamically. Taking remote sensing image as data source and making use of GIS functions in data handling, management, displaying and background data, the authors establish interpretation marks of each type of land used by geological knowledge discovery and integration, and directly make multi-element modifications on the basis of background spatial database. This method not only raises efficiency by saving time and lessening work amount, also upgrades precision. Its application realizes fast and accurate renewal of the 2000-year phase of first-class and some second-class land types of 1 : 50000 database for current situation of land utilization. It is applicable to the renewal of other geographic spatial databases of corresponding scale. |
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| Keywords: | GIS background data 1 : 50000 database for the current situation of land utilization renewal by remote sensing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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