2026-08-16T20:19:04Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18909 2024-03-06T11:02:56Z ddc:004 open_access

Development of a Semantic Segmentation Approach to Old-Map Comparison (Short Paper) Annanias, Yves Wiegreffe, Daniel Niekler, Andreas Kuźma, Marta Harvey, Francis Geographic/Geospatial Visualization Visual Knowledge Discovery Cartographic Analysis This paper describes an innovative computational approach for comparing old maps. Maps older than 20 years remain a vast treasure of geographic information in many parts of the world with potential applications in many environmental and social analyses, e.g., establishing road construction over the past 80 years or identifying settlement growth since the middle ages. Semantic segmentation has 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 cartographic sources and their computational modelling. Semantic segmentation uses convolutional neural networks to extract elements. With this technique, we create a computational approach to compare old maps systematically and efficiently. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Yves Annanias and Daniel Wiegreffe and Andreas Niekler and Marta Kuźma and Francis Harvey 2023 Is Part Of LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GIScience.2023.14 urn:nbn:de:0030-drops-189099 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.14 eng https://creativecommons.org/licenses/by/4.0/legalcode