| 海岸带影像数据库的设计与集成方法 |
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| 引用本文： | 王敬贵,杨晓梅,杜云艳,苏奋振,陈秀法.海岸带影像数据库的设计与集成方法[J].地球信息科学,2002,4(4):16-23. |
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| 作者姓名： | 王敬贵 杨晓梅 杜云艳 苏奋振 陈秀法 |
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| 作者单位： | 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101 |
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| 基金项目： | 国家 8 63海洋监测技术 2 0 0 1AA63 3 0 10 . |
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| 摘 要： | 目前遥感影像的管理方式仍以文件式管理为主 ,而其在实现影像数据的共享方面存在缺陷 ,应寻求新的管理方法。本文在简要阐述 Arc SDE的体系结构和原理的基础上 ,认为应用 Arc SDE进行影像数据库管理是一种实现共享的有效方法 ,并以中国海岸带遥感影像数据库的设计和建立为例 ,探讨了应用 Arc SDE建立影像数据库的技术方法 ,并讨论了在建立影像数据库方面 Arc SDE存在的技术缺陷和解决的方法。
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| 关 键 词： | ArcSDE 影像数据库 中国海岸带 遥感 |
| 收稿时间： | 2002-09-18; |
| 修稿时间： | 2002年9月18日 |
Discussion on Methods of Building Image Database Using ArcSDE --A Case Study of Building RS Image Database of Chinese Coastal Zone |
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| WANG Jinggui,YANG Xiaomei,DU Yunyan,SU Fenzhen,CHEN Xiufa.Discussion on Methods of Building Image Database Using ArcSDE --A Case Study of Building RS Image Database of Chinese Coastal Zone[J].Geo-information Science,2002,4(4):16-23. |
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| Authors: | WANG Jinggui YANG Xiaomei DU Yunyan SU Fenzhen CHEN Xiufa |
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| Institution: | LREIS, Institute of Geographic Sciences and Natural Resource Research, CAS, Beijing 100101,China |
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| Abstract: | The management of Remote Sensing images is based on files at present, but this management method has many disadvantages for data sharing, we need new methods to manage images data. ArcSDE, a key component of ArcGIS developed by Environment System Research Institute of America, is an open architecture and GIS gateway to connect GIS to RDBMS, such as Oracle, Microsoft SQL Server, DB2, Informix and so on. Based on the understanding of architecture and principles of ArcSDE, this paper found that using ArcSDE to build a RS image database is an effective way except for some limitations, and developed a method of building image database using ArcSDE tools, and took building remote sensing image database of Chinese coastal zone as a case study. During the case study, some problems were met and corresponding resolutions were identified:The storage of overlap parts between images is not very effective when mosaicing is done to them, especially for those Nodata area. During the storage when an overlap image data comes ArcSDE simply rewrites the data of these overlapped blocks. Therefore, the blocks with values have to be rewritten by other blocks with Nodata from another image.The authors provided a resolution to this problem, that is to customize the storing procedure when an overlap block comes. The system checks each pixel value of blocks that will rewrite and blocks that will be rewritten. If the rewriting blocks contain Nodata pixels while the rewritten blocks have values in corresponding locations, the rewriting action will be cancelled in these locations or pixels, otherwise, the rewriting action will be executed. This method can ensure that after mosaicing each pixel of overlap parts will have value as long as one of those images that take part in mosaic has value on that location. Searching and retrieving functions of raster data are not as flexible vector data, users can improve searching and retrieving functions of raster datasets if some vector feature classes were merged into these raster datasets, and we can even search and retrieve raster data through toponyms or placenames if a powerful gazetteer was constructed. |
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| Keywords: | ArcSDE image database Chinese coastal zone RS |
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