Abstract
This paper presents an automated method for defining the boundaries of imprecise regions with basis on publicly available data. The method combines interpolation from a set of points which are assumed to lie in the region to be delineated, obtained from Flickr and evaluated through Kernel Density Estimation, with heuristics for refining the results that leverage on land coverage datsets obtained through remote sensing, integrated through an approached based on region shrinkage. The overall approach is evaluated by means of statistical classification measures, using regions whose boundaries are well defined. Our results shows that the method proposed here performs better than previous approaches described in the litterature, based solely on interpolation through Kernel Density Estimation.
This work was partially supported by the Fundação para a Ciência e a Tecnologia (FCT), through project grant PTDC/EIA-EIA/109840/2009 (SInteliGIS).
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Martins, B. (2011). Delimiting Imprecise Regions with Georeferenced Photos and Land Coverage Data. In: Tanaka, K., Fröhlich, P., Kim, KS. (eds) Web and Wireless Geographical Information Systems. W2GIS 2011. Lecture Notes in Computer Science, vol 6574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19173-2_17
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DOI: https://doi.org/10.1007/978-3-642-19173-2_17
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