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：2006
卷号：XXXVI Part 2
页码：1-6
出版社：Copernicus Publications
摘要：Professionals of various backgrounds have recognized the value that the use of geospatial imagery can add to their analysis. They take advantage of the widespread availability of data in vast image collections. Images in these collections are of various quality, which should be communicated to the users to prevent misuse of information. Visualization of data quality has itself proven to be a valid method to communicate the quality of images to users conducting geospatial analysis. In order to visualize quality, researchers have identified data attributes that hold quality information, and several quality visualization projects followed in its wake. This work concentrates on investigating the dependencies between data quality attributes in geospatial image data. We develop a binary dependency matrix that illustrates dependencies between quality attributes. Then a second, qualitative matrix is populated to describe the dependencies between the attributes in more detail. From this we derive the impact that the discovered dependencies have on quality visualizations. These visualizations would benefit from a formal description of dependencies between data quality attributes, enabling the automatization of the data quality visualization process. The conclusions drawn from the exploration of dependencies can enhance the communication of data quality when they are incorporated into the visualization design
关键词：Visualization; Quality; Imagery; Databases; Decision Support
