๐ ๐ฎ๐ป๐-๐๐ผ-๐บ๐ฎ๐ป๐ ๐ฃ๐ผ๐น๐๐ด๐ผ๐ป ๐ ๐ฎ๐๐ฐ๐ต๐ถ๐ป๐ด ๐ฎ ๐น๐ฎ ๐๐ฎ๐ฐ๐ฐ๐ฎ๐ฟ๐ฑ The ongoing increase of available geo-data makes its integration ever more important. Often, there exist multiple different data sets of the same area, for example, containing building footprints. At ESA 2024, we presented a many-to-many matching algorithm that finds correspondences between the buildings in each map and allows for integrating or evaluating different datasets. We also provide an implementation of our algorithm that shows its applicability for large-scale real-world datasets such as Bonn or Cologne, Germany. https://lnkd.in/emDf_VZN #Algorithm #Geometry #GIS #Research
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