基于ArcSDE的水土保持遥感数据库系统研究与实现
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摘要
随着遥感技术的飞速发展,它在水土保持的规划、治理、监督等方面的应用越来越广。在水土保持信息系统中,遥感技术的宏观、快速和客观等优势得到充分的发挥,成为一个重要的水土流失监测手段。需要注意到,遥感图像具有数据类型繁多、数据量大、数据尺度多样等特点,这使得遥感图像的存储和管理相当复杂。因而迫切需要一个专业的遥感数据库管理系统以便高效、快捷地存储与管理这些影像数据。
文章研究了水土保持信息系统发展现状以及遥感技术在水土保持工作中的应用现状,分析了遥感图像数据库系统在其中的重要地位。通过对比分析目前数据库模型系统的特点,采用对象—关系数据库系统模型来构建遥感图像数据库系统。文章通过基于ArcSDE的遥感图像存储方法与Oracle 9i中遥感图像的存储方法对比,选择基于ArcSDE实现遥感图像数据库系统。并依据水土保持遥感图像数据库系统特点,通过实验分析本系统采用的遥感图像分块和构建金字塔模型的策略。
遥感图像数据库系统应满足水土保持工作业务的要求,方便地存储和管理大量的遥感图像数据。结合系统的这种需求特点,分析了系统应具有文件管理、图像处理、数据库管理以及视图操作的功能,同时进行了系统数据库结构设计。最后,依据遥感图像数据库系统设计方案,以ArcObjects和Visual C++为开发平台,利用系统构建与集成及数据接口技术,具体实现系统各部分功能,构建一个完整的遥感图像数据库系统对水土保持中的遥感图像数据进行高效管理。
As the Remote sensing (RS) technology developing rapidly, it is widely used in planning, management, supervision, and other application in soil and water conservation. In the soil and water conservation information system, RS technology, for its characteristic of extensive coverage, high speed and being objective, receives more attention in, also becomes an important way to monitor soil erosion.
The research status of soil and water conservation information system and the application status of RS technology in soil and water conservation were studied, which showed the important role that the RS image database system played in the information system. In the thesis, ORDBMS was chosen as the structure of the RS image database system after the existent database structures were studied. Compared with the RS image storage in Oracle 9i, the method of storing the RS image based on ArcSDE was selected to design the RS image database system. According to the feature of the RS image database system in the soil and water conservation information system, the rule of tiling and the way to build pyramid model were discussed through experiments.
The RS image database system should satisfy the business demand in the soil and water conservation on conveniently storing and managing large amount of the RS image. The function and the database structure of the RS image database system were designed to meet the need of the system. In the end, based on the application tools-ArcObjects and Visual C++, all designed function of the system was realized using the system integration and data interface technology. Thus, the RS image database system was built to manage the RS image in the soil and water conservation.
文章研究了水土保持信息系统发展现状以及遥感技术在水土保持工作中的应用现状,分析了遥感图像数据库系统在其中的重要地位。通过对比分析目前数据库模型系统的特点,采用对象—关系数据库系统模型来构建遥感图像数据库系统。文章通过基于ArcSDE的遥感图像存储方法与Oracle 9i中遥感图像的存储方法对比,选择基于ArcSDE实现遥感图像数据库系统。并依据水土保持遥感图像数据库系统特点,通过实验分析本系统采用的遥感图像分块和构建金字塔模型的策略。
遥感图像数据库系统应满足水土保持工作业务的要求,方便地存储和管理大量的遥感图像数据。结合系统的这种需求特点,分析了系统应具有文件管理、图像处理、数据库管理以及视图操作的功能,同时进行了系统数据库结构设计。最后,依据遥感图像数据库系统设计方案,以ArcObjects和Visual C++为开发平台,利用系统构建与集成及数据接口技术,具体实现系统各部分功能,构建一个完整的遥感图像数据库系统对水土保持中的遥感图像数据进行高效管理。
As the Remote sensing (RS) technology developing rapidly, it is widely used in planning, management, supervision, and other application in soil and water conservation. In the soil and water conservation information system, RS technology, for its characteristic of extensive coverage, high speed and being objective, receives more attention in, also becomes an important way to monitor soil erosion.
The research status of soil and water conservation information system and the application status of RS technology in soil and water conservation were studied, which showed the important role that the RS image database system played in the information system. In the thesis, ORDBMS was chosen as the structure of the RS image database system after the existent database structures were studied. Compared with the RS image storage in Oracle 9i, the method of storing the RS image based on ArcSDE was selected to design the RS image database system. According to the feature of the RS image database system in the soil and water conservation information system, the rule of tiling and the way to build pyramid model were discussed through experiments.
The RS image database system should satisfy the business demand in the soil and water conservation on conveniently storing and managing large amount of the RS image. The function and the database structure of the RS image database system were designed to meet the need of the system. In the end, based on the application tools-ArcObjects and Visual C++, all designed function of the system was realized using the system integration and data interface technology. Thus, the RS image database system was built to manage the RS image in the soil and water conservation.
引文
[1]张赞,陈铁军. 3S技术在水土保持移动监测系统中的应用.微计算机信息, 2006, Vol. 22(10-1): 196~198
[2]朱述龙,张占睦.遥感图象获取与分析.北京:科学出版社, 2000
[3]王莉.水土流失遥感监测GIS数据库在嘉陵江流域上的应用.亚热带水土保持, Dec. 2006, Vol. 18(4): 46~48
[4]张永生.遥感图像信息系统.北京:科学出版社, 2000
[5] Shekhar S, Chawla S著.空间数据库.谢昆青等译.北京:机械工业出版社, 2004
[6]刘钊,程锦,张远智.土地遥感动态监测信息管理系统设计与功能实现.国土资源遥感, 2000(1): 57~62
[7]钱乐祥.遥感数字影像处理与地理特征提取.北京:科学出版社, 2004.
[8]戴吕达,姜小光,唐伶俐.遥感图像应用处理与分析.北京:清华大学出版社, 2004
[9] Worboys M. GIS: A computing perspective. Taylor and Francis, 1995.
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[11] Jayant Sharma. Oracle Spatial. USA: Oracle Corporation, May 2002.
[12] Chuck Murray. Oracle Spatial User's Guide and Reference, Release 9.0.1. USA: Oracle Corporation, 2001
[13] Robert West. Understanding AreSDE. California USA: ESRI, 2001
[14] Mark Harris. Managing ArcSDE Services. California USA: Environmental System Research Institute, 1999
[15]蔡晓兵. ArcSDE中间件技术的生命力. http://www.esrichina-bj.cn/library/chinanews /newl2/new12-arcsde.html, 2003
[16] Open GIS consortium: Open GIS simple features specification for SQL(Revision 1.l ). In URL: http://www.opengis.org/techno/specs.html, 1999
[17] Raster Data in ArcSDE 8.3 An ESRI White Paper. California USA: ESRI, Sep. 2003
[18]宋江洪,赵忠明.图像分块分层结构在海量数据处理的应用.计算机工程与应用, 2004, (33): 31~33
[19]张永生.数字摄影测量.北京:解放军出版社, 1997
[20] Hamid R. Rabiee, R. L. Kashyap, and S. R. Safavian. Multiresolution Segmentation-based Image Coding with Hierarchical Data Structures. IEEE ICA MSSP '96, A tlanta, GA, May 1996
[21] Jau-Yuen Chen, Charles A. Bouman, and John C. Dalton. Hierarchical Browsing and Search of Large Image Databases. IEEE Transactions on Image Proceeding, Vo1.9(3), March 2000
[22]汪国平,吴学礼,陈斌等.高速网上3维海量地形数据的实时交互浏览的实现.测绘学报, Feb. 2002, Vol. 31(1): 34~38
[23]陶闯,王全科.基于地学信息服务的Internet3维GIS: GeoEye 3D.测绘学报, Feb. 2002, Vol. 31(1): 17~21
[24] Microsoft TerraServer. http://terraserver.homeadvisor.msn.com/
[25] Martin Reddy, Yvan Leclerc, Lee Iverson et al. TerraVision II: Visualizing Massive Terrain Database in VRML. IEEE Computer Graphics & Applications, March/April 1999, Vol. 19: 30~38
[26] TerraShare-An Image Storage and Distribution Solution. http://www.ziimaging.com
[27]申胜利,李华,刘聚海.基于ArcSDE的栅格数据存储与处理.测绘通报, 2007, (9): 47~49
[28] Gennady Agranov, Craig Gotsman. Algorithms for Rendering Realistic Terrain Image Sequences and Their Parallel Implementation. The Visual Computer, 1995, Vol. 11(9): 455~464
[29]张剑波,刘丹,吴信才. GIS栅格存储管理的研究与实现.桂林工学院学报, Jan. 2006, Vol. 26(1): 54~58
[30]罗睿,张永生,李颖等.遥感影像数据模型及影像数据库的建立.测绘学院学报, Dec.2000, Vol. 17(4): 273~276
[31]王连备,张锐,张景湘等.遥感图像信息系统数据模型设计.测绘学院学报, Dec, 2005, Vol. 22(4): 296~299
[32]韩鹏,徐占华,褚海峰等.地理信息系统开发——ArcObjects方法.武汉:武汉大学出版社, 2005
[33] Robert Burke. Getting to Know ArcObjects. California USA: ESRI Press, 2003
[34] Michael Zeiler. Exploring ArcObjects. California USA: Environmental System Research Institute, 1999
[35] David J Kruglinski, Scot Wingo, George Shepherd. Visual C++6.0技术内幕.第五版.北京:希望电子出版社, 2002
[36]宋关福,钟耳顺.组件式地理信息系统研究与开发.中国图像图形学报, April 1998, Vol. 3(4): 313~317
[37]刘仁义,刘南. ArcGIS开发宝典——从入门到精通.北京:科学出版社, 2006
[38]边馥苓. GIS地理信息系统原理和方法.北京:测绘出版社, 1996
[39]周涛. GIS软件两个热点技术浅析,测绘通报, 1999, (3): 40~41
[40] Zhong Ershun, Song Guanfu, Wang Erqi. Development of a Components GIS based on Applications. Beijing China: Proceedings of IEAS’97&IWGIS’97, August 1997, Vol. 1: 18~22
[41] Andrew MacDonald. Building a Geodatabase. California USA: Environmental System Research Institute, 1999
[42] Peter Baumann. Management of multidimensional discrete data. The VLDB journal, 1994, Vol.3(4): 401~444
[43] Peter Baumann. Unified Retrieval on Nigh-Volume Sensor, Image, and Statistics Databases. CODATA Prague Workshop Information Visualization Presentation, and Design, 2004
[2]朱述龙,张占睦.遥感图象获取与分析.北京:科学出版社, 2000
[3]王莉.水土流失遥感监测GIS数据库在嘉陵江流域上的应用.亚热带水土保持, Dec. 2006, Vol. 18(4): 46~48
[4]张永生.遥感图像信息系统.北京:科学出版社, 2000
[5] Shekhar S, Chawla S著.空间数据库.谢昆青等译.北京:机械工业出版社, 2004
[6]刘钊,程锦,张远智.土地遥感动态监测信息管理系统设计与功能实现.国土资源遥感, 2000(1): 57~62
[7]钱乐祥.遥感数字影像处理与地理特征提取.北京:科学出版社, 2004.
[8]戴吕达,姜小光,唐伶俐.遥感图像应用处理与分析.北京:清华大学出版社, 2004
[9] Worboys M. GIS: A computing perspective. Taylor and Francis, 1995.
[10] Michael Zeiler. Modeling Our World. California USA: ESRI Press, 1999.
[11] Jayant Sharma. Oracle Spatial. USA: Oracle Corporation, May 2002.
[12] Chuck Murray. Oracle Spatial User's Guide and Reference, Release 9.0.1. USA: Oracle Corporation, 2001
[13] Robert West. Understanding AreSDE. California USA: ESRI, 2001
[14] Mark Harris. Managing ArcSDE Services. California USA: Environmental System Research Institute, 1999
[15]蔡晓兵. ArcSDE中间件技术的生命力. http://www.esrichina-bj.cn/library/chinanews /newl2/new12-arcsde.html, 2003
[16] Open GIS consortium: Open GIS simple features specification for SQL(Revision 1.l ). In URL: http://www.opengis.org/techno/specs.html, 1999
[17] Raster Data in ArcSDE 8.3 An ESRI White Paper. California USA: ESRI, Sep. 2003
[18]宋江洪,赵忠明.图像分块分层结构在海量数据处理的应用.计算机工程与应用, 2004, (33): 31~33
[19]张永生.数字摄影测量.北京:解放军出版社, 1997
[20] Hamid R. Rabiee, R. L. Kashyap, and S. R. Safavian. Multiresolution Segmentation-based Image Coding with Hierarchical Data Structures. IEEE ICA MSSP '96, A tlanta, GA, May 1996
[21] Jau-Yuen Chen, Charles A. Bouman, and John C. Dalton. Hierarchical Browsing and Search of Large Image Databases. IEEE Transactions on Image Proceeding, Vo1.9(3), March 2000
[22]汪国平,吴学礼,陈斌等.高速网上3维海量地形数据的实时交互浏览的实现.测绘学报, Feb. 2002, Vol. 31(1): 34~38
[23]陶闯,王全科.基于地学信息服务的Internet3维GIS: GeoEye 3D.测绘学报, Feb. 2002, Vol. 31(1): 17~21
[24] Microsoft TerraServer. http://terraserver.homeadvisor.msn.com/
[25] Martin Reddy, Yvan Leclerc, Lee Iverson et al. TerraVision II: Visualizing Massive Terrain Database in VRML. IEEE Computer Graphics & Applications, March/April 1999, Vol. 19: 30~38
[26] TerraShare-An Image Storage and Distribution Solution. http://www.ziimaging.com
[27]申胜利,李华,刘聚海.基于ArcSDE的栅格数据存储与处理.测绘通报, 2007, (9): 47~49
[28] Gennady Agranov, Craig Gotsman. Algorithms for Rendering Realistic Terrain Image Sequences and Their Parallel Implementation. The Visual Computer, 1995, Vol. 11(9): 455~464
[29]张剑波,刘丹,吴信才. GIS栅格存储管理的研究与实现.桂林工学院学报, Jan. 2006, Vol. 26(1): 54~58
[30]罗睿,张永生,李颖等.遥感影像数据模型及影像数据库的建立.测绘学院学报, Dec.2000, Vol. 17(4): 273~276
[31]王连备,张锐,张景湘等.遥感图像信息系统数据模型设计.测绘学院学报, Dec, 2005, Vol. 22(4): 296~299
[32]韩鹏,徐占华,褚海峰等.地理信息系统开发——ArcObjects方法.武汉:武汉大学出版社, 2005
[33] Robert Burke. Getting to Know ArcObjects. California USA: ESRI Press, 2003
[34] Michael Zeiler. Exploring ArcObjects. California USA: Environmental System Research Institute, 1999
[35] David J Kruglinski, Scot Wingo, George Shepherd. Visual C++6.0技术内幕.第五版.北京:希望电子出版社, 2002
[36]宋关福,钟耳顺.组件式地理信息系统研究与开发.中国图像图形学报, April 1998, Vol. 3(4): 313~317
[37]刘仁义,刘南. ArcGIS开发宝典——从入门到精通.北京:科学出版社, 2006
[38]边馥苓. GIS地理信息系统原理和方法.北京:测绘出版社, 1996
[39]周涛. GIS软件两个热点技术浅析,测绘通报, 1999, (3): 40~41
[40] Zhong Ershun, Song Guanfu, Wang Erqi. Development of a Components GIS based on Applications. Beijing China: Proceedings of IEAS’97&IWGIS’97, August 1997, Vol. 1: 18~22
[41] Andrew MacDonald. Building a Geodatabase. California USA: Environmental System Research Institute, 1999
[42] Peter Baumann. Management of multidimensional discrete data. The VLDB journal, 1994, Vol.3(4): 401~444
[43] Peter Baumann. Unified Retrieval on Nigh-Volume Sensor, Image, and Statistics Databases. CODATA Prague Workshop Information Visualization Presentation, and Design, 2004