| CBERS-1林被信息挖掘的GIS多元分析 |
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| 引用本文： | 傅俏燕,王志民,闵祥军,李杏朝,杨雪梅,朱军,罗扬.CBERS-1林被信息挖掘的GIS多元分析[J].地球信息科学,2005,7(1):53-58. |
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| 作者姓名： | 傅俏燕 王志民 闵祥军 李杏朝 杨雪梅 朱军 罗扬 |
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| 作者单位： | 北京师范大学地理学与遥感科学学院遥感与地理信息系统研究中心,北京,100875;中国资源卫星应用中心,北京,100073;中国资源卫星应用中心,北京,100073;贵州省林业调查规划设计院,贵阳,550003 |
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| 基金项目： | 国防科技工业委员会成果推广项目 |
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| 摘 要： | 本文论述了基于知识的CBERS-1 CCD图像分割的波段优化组合方案.以及组合运算生成非线性波段比图像和筛选分析与应用。同时运用地学多元分析原理探讨了影响森林植被中灌木林、灌丛等类型影像特征的地形、地质岩性、成土母质等因素。讨论了基于地理信息系统(GIS)及其背景数据库,通过分类重编码的分析处理,以及与地学信息的融合挖掘分析,利用建模工具二次开发模型,分层提取和人机交互系统综合分析与制图,取得理想的效果。
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| 关 键 词： | 中巴地球资源卫星 森林资源 多元分析 优化组合 |
| 收稿时间： | 2004-04-19; |
| 修稿时间： | 2004年4月19日 |
Multi-variate Analysis for Image of CBERS-1 and Data Mining of Forest Vegetation Based on GIS |
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| FU Qiaoyan,WANG Zhiming,MIN Xiangjun,LI Xingchao,YANG Xuemei,ZHU Jun,LUO Yang.Multi-variate Analysis for Image of CBERS-1 and Data Mining of Forest Vegetation Based on GIS[J].Geo-information Science,2005,7(1):53-58. |
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| Authors: | FU Qiaoyan WANG Zhiming MIN Xiangjun LI Xingchao YANG Xuemei ZHU Jun LUO Yang |
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| Institution: | 1. Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing 100875;
2. ChinaChina Center for Resource Satellite Data and Application, Beijing 100073, China;
3. Forestry Survey and Planning Institute of Guizhou Province, Guiyang 550003, China |
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| Abstract: | This paper discusses the band combination method and nonlinear band ratio image for CBERS-1 CCD image based on knowledge by selecting analysis and application. Using the theory for geographical multi-information analysis, it is discussed that the factors of topography, geologic lithology and soil which affect the image characteristics of vegetation types such as Shrubbery and Shrub Land. The satisfactory result is achieved by the classification recode method, fusion analysis for geographical information with modeling tools, second-hand developed model, target types delamination extraction, multi-information analysis and cartography with human-computer interactive interpreting method based on GIS and background database. |
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| Keywords: | CBERS forest resource multi-information analysis optimum band combination |
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