文章基本信息

标题：Multi-hierarchical Quality Assessment of Geo-Spatial Data
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作者：C. Becker ; M. Ziems ; T. Büschenfeld 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B2
页码：779-786
出版社：Copernicus Publications
摘要：In this paper we describe the analysis framework system G EO AIDA with view of an application for a versatile and efficient quality assessment of geodata. G EO AIDA allows to develop image analysis strategies for complex object class definitions being provided by different GIS databases. The image analysis strategy and GIS data model can be expressed in tree-like semantic networks. The multi-hierarchical architecture allows multiple combinations of image analysis tools for a multifaceted use. A practical application is the semiautomatic quality assessment of MGCP data by using IKONOS imagery. For the comparision of MGCP and image content, information about different object classes is extracted from the image. The landcover objects are detected by color texture classification combined with structural analyzing methods. Roads are detected by a line based extraction algorithm combined with color texture classification results. The MGCP database itself is used as prior knowledge to perform the image analysis
关键词：Automation; GIS; Quality; Road Extraction; Structure; Texture; Updating