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  • 标题:Data quality in 3d: gauging quality measures from users' requirements
  • 本地全文:下载
  • 作者:I.M. Sargent ; J. Harding ; M. Freeman
  • 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:2007
  • 卷号:XXXVI-2/C43
  • 出版社:Copernicus Publications
  • 摘要:Producing data of known quality is an essential operation of mapping agencies such as Ordnance Survey. For these data to be of value to our customers, we need to understand what quality measures will allow them to assess whether the data are fit for their purpose. In the case of 3-dimensional (3D) data, this is particularly important as it will inform research into capturing and modelling these data. However, for a data type in its infancy, such as 3D data, it is rare that a clear idea of quality requirements is available since the full range of uses of the data is still unknown. Instead, the potential use contexts of such data need to be investigated. To this end, we have conducted user needs research across a wide range of professional use contexts. This research has been analysed to identify measures and their required quality for use contexts where 3D information about buildings is of particular interest to the user. However, it is often the case that the user cannot realistically make explicit statements anticipating what they would require in terms of 3D data measures and quality elements such as positional accuracy. Instead, it is possible to identify 3D building data characteristics and quality tolerances from implicit statements about use context and objectives from interviews with a wide range of professionals. Characteristics identified include the highest point of a structure and the maximum height of roof ridge, and others such as the the geometric shapes of roofs, buildings and the space between them, which will clearly present some challenges for developing usable quality measures. Preliminary results of this research are presented
  • 关键词:user needs; data quality; quality measures; 3D data; mapping
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