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：425-432
出版社：Copernicus Publications
摘要：Multiple representation of spatial data, which means obtaining different detailed representation of geographic phenomena based on the same spatial database or different data versions, is one of the key technologies for digital earth. It plays an important role in such applications as seamless data navigation, progressive web transfer and self-adaptable visualization. Multiple representation technology meets the contradiction between data volume and high granularity representation. This paper aims at the objective by small size of data volume to realize high granularity representation, presenting a concept, namely representation lifespan over scale space to describe that the spatial data has different representation scene in scale space. The scale transformation is represented as t ij : < fi, [si 1 , si 2 ],{g ij } >, where f i is the transformation function, [si 1 , si 2 ] the scale range controlled by two key scale points si 1 and si 2 and {g ij } the base representation status associated with the key scale point of si 1 or si 2 . The study summaries that there are four transformations, namely generalization, LOD accumulation, morphing and extraction
