ISPRS Int. J. Geo-Inf., Volume 7, Issue 6 (June 2018) – 35 articles
Cover Story (view full-size image): In the last years, new approaches aimed to increase the automation level of the positional accuracy assessment processes of spatial data have been developed. However, in such cases, an aspect as significant as the sample size has not been addressed. In our work, we study the influence of the sample size when estimating the planimetric positional accuracy of urban databases by means of an automatic assessment polygon-based methodology. Our research is based on a simulation process which extracts pairs of homologous polygons from the assessed data source and from the reference data source and applies two buffer-based methods. Our results show a significant reduction in the variability of the estimations when the sample size increased from 5 Km to 100 Km. View Paper here.
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