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Saliency and semantic processing: Extracting forest cover from historical topographic maps


Leyk, Stefan; Boesch, Ruedi; Weibel, Robert (2006). Saliency and semantic processing: Extracting forest cover from historical topographic maps. Pattern Recognition, 39(5):953-968.

Abstract

A multi-step recognition process is developed for extracting compound forest cover information from manually produced scanned historical topographic maps of the 19th century. This information is a unique data source for GIS-based land cover change modeling. Based on salient features in the image the steps to be carried out are character recognition, line detection and structural analysis of forest symbols. Semantic expansion implying the meanings of objects is applied for final forest cover extraction. The procedure resulted in high accuracies of 94% indicating a potential for automatic and robust extraction of forest cover from larger areas.

Abstract

A multi-step recognition process is developed for extracting compound forest cover information from manually produced scanned historical topographic maps of the 19th century. This information is a unique data source for GIS-based land cover change modeling. Based on salient features in the image the steps to be carried out are character recognition, line detection and structural analysis of forest symbols. Semantic expansion implying the meanings of objects is applied for final forest cover extraction. The procedure resulted in high accuracies of 94% indicating a potential for automatic and robust extraction of forest cover from larger areas.

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19 citations in Web of Science®
29 citations in Scopus®
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Additional indexing

Item Type:Journal Article, not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2006
Deposited On:24 Apr 2013 11:35
Last Modified:05 Apr 2016 16:45
Publisher:Pergamon
ISSN:0031-3203
Publisher DOI:https://doi.org/10.1016/j.patcog.2005.10.018

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