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Development of a Semantic Segmentation Approach to Old-Map Comparison

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dc.abstract.enThis paper describes an innovative computational approach for comparing old maps. Maps olderthan 20 years remain a vast treasure of geographic information in many parts of the world withpotential applications in many environmental and social analyses, e.g., establishing road constructionover the past 80 years or identifying settlement growth since the middle ages. Semantic segmentationhas developed into a viable computational method for analysing old maps from previous centuries.It allows for the discrete identification of elements, e.g., lakes, forests, and roads, from cartographicsources and their computational modelling. Semantic segmentation uses convolutional neuralnetworks to extract elements. With this technique, we create a computational approach to compareold maps systematically and efficiently.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorHarvey, Francis
dc.contributor.authorKuźma, Marta
dc.contributor.authorNiekler, Andreas
dc.contributor.authorWiegreffe, Daniel
dc.contributor.authorAnnanias, Yves
dc.date.accessioned2024-01-28T20:15:36Z
dc.date.available2024-01-28T20:15:36Z
dc.date.issued2023
dc.description.financeNie dotyczy
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/152072
dc.identifier.weblinkhttps://www.researchgate.net/publication/373659798_Development_of_a_Semantic_Segmentation_Approach_to_Old-Map_Comparison
dc.languageeng
dc.pbn.affiliationhistory
dc.publisher.ministerialSchloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
dc.relation.book12th International Conference on Geographic Information Science (GIScience 2023)
dc.relation.pages14:1–14:6
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enGeographic/Geospatial Visualization
dc.subject.enVisual Knowledge Discovery
dc.subject.enCarto-graphic Analysis
dc.titleDevelopment of a Semantic Segmentation Approach to Old-Map Comparison
dc.typeMonographChapter
dspace.entity.typePublication