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Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Deep Learning in Historical Geography
 Vynikal, Jakub ; Pacina, Jan
In relation to the rapid development of artificial intelligence, the possibilities of automatic processing of spatial data are increasing. Scanned topographical maps are a valued source of historical information. Neural networks allow us to extract information quickly and efficiently from such data, eliminating the difficult and repetitive work that would otherwise have to be done by a human. The article presents two case studies exploring the possibilities of using deep learning in historical geography. The first one is concerned with detecting and extracting swamps from topographic maps, while the second one attempts to automatically vectorize contours from the State Map 1 : 5 000
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Information system for easy access of the First Military Survey
 Pacina, J. ; Chodějovská, Eva ; Popelka, J.
The First Military Survey is a unique collection of maps and descriptive information covering the whole former Austrian monarchy dating back to 1760s-1780s. The First Military Survey contains of both cartographic and textual material. The description of landscape according to the individual sections of the 1:28 800 map was carried out simultaneously with the map. The texts in every section are strictly structured into description of municipalities, “Extract” where the entire region is summarized by subjects and index of places. The aim of this project is to turn this comprehensive cartographic work into a digital library offering the user all the information contained in the original work in a comfort internet environment. The old maps are carefully georeferenced into a seamless map and the descriptive information is processed into a database. The resulting information system will be available in Czech and German as all the texts are being carefully translated.
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1 Pacina, Jan
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