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THE STUDY OF RELEVANT TECHNIQUES FOR INTELLIGENT INTEGRATION OF GIS AND RS

机译:GIS与RS智能集成的相关技术研究

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In recent years remote sensing (RS), geographic information systems (GIS) and global positioning systems (GPS), have been three main technologies for spatial information acquisition, spatial data storage management, spatial data updating, spatial analysis and applications. However, the integration of the three technologies is an important issue and a big challenge to the geo-information community. This paper addresses three technical aspects relevant for intelligent integration of RS with GIS: (1) possible database structures for integration, (2) application possibilities of the rough set theory in spatial data mining, (3) an approach of image clustering based on mathematical morphology in remote sensing.
机译:近年来,遥感(RS),地理信息系统(GIS)和全球定位系统(GPS)已经成为用于空间信息获取,空间数据存储管理,空间数据更新,空间分析和应用的三种主要技术。但是,这三种技术的集成对于地理信息界来说是一个重要的问题,也是一个巨大的挑战。本文讨论了与RS与GIS进行智能集成有关的三个技术方面:(1)可能的集成数据库结构;(2)粗糙集理论在空间数据挖掘中的应用可能性;(3)基于数学的图像聚类方法遥感形态学。

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