New Tools for the Classification and Filtering of Historical Maps

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F19%3A82254" target="_blank" >RIV/60460709:41330/19:82254 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2220-9964/8/10/455" target="_blank" >https://www.mdpi.com/2220-9964/8/10/455</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijgi8100455" target="_blank" >10.3390/ijgi8100455</a>

Result language
angličtina
Original language name
New Tools for the Classification and Filtering of Historical Maps
Original language description
Historical maps constitute an essential information for investigating the ecological and landscape features of a region over time. The integration of heritage maps in GIS models requires their digitalization and classification. This paper presents a semi automatic procedure for the digitalization of heritage maps and the successive filtering of undesirable features such as text, symbols and boundary lines. The digitalization step is carried out using Object based Image Analysis OBIA in GRASS GIS and R, combining image segmentation and machine learning classification. The filtering step is performed by two GRASS GIS modules developed during this study and made available as GRASS GIS add ons. The first module evaluates the size of the filter window needed for the removal of text, symbols and lines the second module replaces the values of pixels of the category to be removed with values of the surrounding pixels. The procedure has been tested on three maps with different characteristics, the Historical
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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