文章基本信息

标题：A Map Based Image Retrieval Technique for Spatial Database System
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作者：Madhusmita Sahu ; Animesh Tripathy
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1
页码：275-278
语种：English
出版社：Ayushmaan Technologies
摘要：Data mining models show great effciency on acquiring knowledgefor expert system classifcation. This study aimed at miningknowledge contained in landscape, from multi-scale spatial datausing decision tree learning model and evaluating the classifcation.Classifcation and prediction are the two forms of data analysis.Here all the techniques of classifcation, are applied on spatialdata base, is discussed. Spatial data base store information relativeto spatial locations and support effcient storage, indexing andquerying of spatial data. Firstly, spatial data containing remotesensing images of different spatial and spectrum resolutions,digital elevation models and geographical information data withdifferent scales were combined together to make up a spatialdata infrastructure. Secondly, feld samples data is acquired asthe reference and the related spatial data was extracted. Thirdlythe expert rules needs to be developed by decision tree models,and then the rule base was used in a knowledge classifer. Finallyinformation provided by multi-level spatial data would inﬂuencethe decision tree learning by using enhanced classifer.