Extracting Composite Cartographic Area Features in Low-Quality Maps

Leyk, Stefan; Boesch, Ruedi

doi:10.1559/152304009787340115

Cited by 20 publications

(16 citation statements)

References 12 publications

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“…Automated feature extraction or maps with similar, or worse than map 1 quality is difficult, though a viable alternative could be a method proposed by Leyk et al . () and Leyk and Boesch () aiming to interpret map information through recognition of context and relations between complex cartographic symbols.…”

Section: Discussionmentioning

confidence: 99%

“…We received accuracies similar to results of other studies which aimed to extract two‐dimensional features from scanned paper maps (Wise, , ; Herrault et al ., ), proving the effectiveness of our approach. In cases, where graphical, structural or textural forest representation is to be taken into account, potential of other methods might be higher (Leyk et al ., ; Leyk and Boesch, , ).…”

Section: Discussionmentioning

confidence: 99%

“…Several recent studies have demonstrated that automated extraction methods may offer significant benefits in massive processing of cartographic data, at least supporting the process of map interpretation (Chiang et al ., , ). For instance, Leyk and Boesch () made a successful attempt to extract forest cover information from three whole map sheets of 1:25 000 19th century Siegfried Map of Switzerland. Iwanowski and Kozak () used morphological image processing to extract forest information from one map sheet of the Polish Military Map from 1930s, Herrault et al .…”

Section: Introductionmentioning

confidence: 99%

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Forest cover mask from historical topographic maps based on image processing

Ostafin

Iwanowski

Kozak

et al. 2017

Geoscience Data Journal

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Research carried out within the FORECOM project (Forest cover changes in mountainous regions -drivers, trajectories and implications, PSRP-008/2010), supported by a grant from Switzerland through the Swiss contribution to the enlarged European Union.This study aimed to obtain accurate binary forest masks which might be directly used in analysis of land cover changes over large areas. A sequence of image processing operations was conceived, parameterized and tested using various topographic maps from mountain areas in Poland and Switzerland. First, the input maps were filtered and binarized by thresholding in Hue-SaturationValue colour space. The second step consisted of a set of morphological image analysis procedures leading to final forest masks. The forest masks were then assessed and compared to manual forest boundary vectorization. The Polish topographical map published in the 1930s showed low accuracy which could be attributed to methods of cartographic presentation used and degradation of original colour prints. For maps published in the 1970s, the automated forest extraction performed very well, with accuracy exceeding 97%, comparable to accuracies of manual vectorization of the same maps performed by nontrained operators. With this method, we obtained a forest cover mask for the entire area of the Polish Carpathians, easily readable in any Geographic Information System software.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Forest cover mask from historical topographic maps based on image processing

Ostafin

Iwanowski

Kozak

et al. 2017

Geoscience Data Journal

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“…Leyk & Boesch., 2010) or extract specific features such as forest only (e.g. Leyk & Boesch, 2009). Information extraction on built-up space for large areas from more detailed scale maps over long-time periods has so far not been done.…”

Section: Methods 31 Introductionmentioning

confidence: 99%

Rapid mapping of urban development from historic Ordnance Survey maps: An application for pluvial flood risk in Worcester

Visser

2014

Journal of Maps

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Between 2004 and 2008 the city of Worcester, UK experienced a number of pluvial flood events. The causes of this kind of flooding are the topic of ongoing research. This paper describes a study that aimed to investigate the urban development of Worcester over time in relation to the location of recorded pluvial flood incidents. A novel rapid mapping method has been developed to derive urban development over five time periods between 1886 and 1995 from scanned Ordnance Survey historical maps. The technique compared well with manual digitisation results with k-hat values ranging from 0.67 to 0.87 for the land use maps created for different time periods. The technique performed least well for the oldest map series, due to misclassification of the abundant symbols and annotation. The method will be particularly beneficial for investigation of town/city development in time over large areas. The resulting map of urban development in Worcester (scale 1:20,000) shows that almost half of the recorded pluvial flood incidents occurred in areas developed between 1956 and 1975, which contradicts local belief that an outdated (Victorian) drainage system causes most of the problems. The quality of the post World War II developments is more likely to be a source for concern.

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“…Leyk, Boesch, and Weibel (2006) created a process for extracting forest cover information from scanned historical maps, while Leyk and Boesch (2009) developed a method to extract features from low-quality maps. Much of the research takes advantage of image segmentation, a process of separating an image into different homogeneous regions and which ".…”

Section: Related Workmentioning

confidence: 99%

An Adaptable Approach for Generating Vector Features from Scanned Historical Thematic Maps Using Image Enhancement and Remote Sensing Techniques in a Geographic Information System

Godfrey

Eveleth

2015

Journal of Map & Geography Libraries

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Historical maps possess a wealth of information that is, unfortunately, often unreachable by modern mapping applications. While the digitization of historical maps allows the information to be utilized in these applications, it is really, in many cases, the conversion of features (from a raster data type to a vector data type) contained on those maps that enables the information to be used more extensively and easily. This paper highlights the ways the University of Idaho Library enriched a thematic map to become more usable in modern mapping applications. We accomplished this by detailing a work flow within Esri ArcGIS for Desktop that takes advantage of image enhancement, geoprocessing tools, and remote sensing techniques to generate a vector data set from a raster image of a historical map. To a large degree, the general work flow developed can be adapted and utilized on similar thematic maps.

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Extracting Composite Cartographic Area Features in Low-Quality Maps

Cited by 20 publications

References 12 publications

Forest cover mask from historical topographic maps based on image processing

Forest cover mask from historical topographic maps based on image processing

Rapid mapping of urban development from historic Ordnance Survey maps: An application for pluvial flood risk in Worcester

An Adaptable Approach for Generating Vector Features from Scanned Historical Thematic Maps Using Image Enhancement and Remote Sensing Techniques in a Geographic Information System

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