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

机译:GIS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),是空间信息采集,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。然而,三种技术的整合是对地理信息社区的重要问题和大量挑战。本文涉及与GIS智能集成相关的三个技术方面:(1)用于集成的可能数据库结构,(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中的形态学。

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