Topographic maps automatic interpretation : Some proposed strategies

Deseilligny, Marc Pierrot; Mariani, Robert D.; Labiche, Jacques; Mullot, Rémy

doi:10.1007/3-540-64381-8_48

Cited by 9 publications

(5 citation statements)

References 13 publications

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“…Here, a scan density of 508 dpi (50 µm spacing) is used. This value has been proven to be sufficient for the automatic interpretation of digitized topographic maps [34,35]. After the topographic maps are scanned and georeferenced at a scale of 1:25,000, a pixel corresponds to an area of 1.25 by 1.25 m in nature.…”

Section: Pre-processing Of the Topographic Mapsmentioning

confidence: 99%

Mapping Long-Term Dynamics of Population and Dwellings Based on a Multi-Temporal Analysis of Urban Morphologies

Hecht

Herold

Behnisch

et al. 2018

IJGI

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Information on the distribution and dynamics of dwellings and their inhabitants is essential to support decision-making in various fields such as energy provision, land use planning, risk assessment and disaster management. However, as various different of approaches to estimate the current distribution of population and dwellings exists, further evidence on past dynamics is needed for a better understanding of urban processes. This article therefore addresses the question of whether and how accurately historical distributions of dwellings and inhabitants can be reconstructed with commonly available geodata from national mapping and cadastral agencies. For this purpose, an approach for the automatic derivation of such information is presented. The data basis is constituted by a current digital landscape model and a 3D building model combined with historical land use information automatically extracted from historical topographic maps. For this purpose, methods of image processing, machine learning, change detection and dasymetric mapping are applied. The results for a study area in Germany show that it is possible to automatically derive decadal historical patterns of population and dwellings from 1950 to 2011 at the level of a 100 m grid with slight underestimations and acceptable standard deviations. By a differentiated analysis we were able to quantify the errors for different urban structure types.

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Section: Pre-processing Of the Topographic Mapsmentioning

confidence: 99%

Mapping Long-Term Dynamics of Population and Dwellings Based on a Multi-Temporal Analysis of Urban Morphologies

Hecht

Herold

Behnisch

et al. 2018

IJGI

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“…For example, Lichtner (1985) suggested pattern recognition by raster to vector transformation. Deseilligny et al (1998) performed text recognition and extracted information from the French national topographic maps and Li (1999) used the US Geological Survey (USGS) maps for similar work. Guerin and Deseilligny (1995) proposed automated digitization and interpretation of scanned maps using spatial associations so as to completely extract and make a list of important geographical objects to improve GIS analysis.…”

Section: Related Workmentioning

confidence: 99%

Automatic Text Removal and Replacement in Scanned Meteorological Thematic Maps

Abdullah¹,

Alshamat²,

Bakhashwain³

et al. 2015

Journal of Computer Science

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Geo-referenced data is required in many Geographic Information System (GIS) applications and one source of such data being maps. Meteorological maps are color-coded with different regions corresponding to different values of a parameter, parsing the image to convert into data is not very difficult. However, text and different planimetric elements overlaid on the regions in the map makes accurate image to data conversion a challenging problem, because it is almost impossible to exactly replace what was underneath the text or icons i.e., the need for inpainting. In this study, we propose a probabilistic technique that uses the probability of occurrence of colors present in the map along with the occurrence of those colors in the spatial neighborhood of the pixel (corresponding to text) whose color is required to be replaced. We test the limits of our proposed technique using simulated data and compare results with a popular image editing tool using public domain data with promising results.

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“…This knowledge is either directly written into in the source code, or it can be declarative knowledge based on explicit rules for graphical entities. An analysis of graphical entities and their relationships allows one to propose an interpretation, in the case of strictly bottom-up approaches such as [Boatto 1992], [Deseilligny 1998], [Kasturi 1990], [Shimotsuji 1992], [Suzuki 1990]. The main difficulty in this kind of process comes from obtaining significant and robust graphical entities from the low-level operators and reliable association rules between each primitive in order to achieve a correct interpretation.…”

Section: Classical Strategies : Bottom-up Approachmentioning

confidence: 99%

Analysis and Interpretation of Graphical Documents

Ogier

2014

Handbook of Document Image Processing and Recognition

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This chapter is dedicated to the analysis and the interpretation of graphical documents, and as such, builds upon many of the topics covered in other parts of this handbook. It will therefore not focus on any of the technical issues related to graphical documents, such as low level filtering and binarization, primitive extraction and vectorization as developed in Chapters 2.1 and 5.1 or symbol recognition, for instance, as developed in Chapter 5.2. These tools are put in a broader framework and threaded together in complex pipelines to solve interpretation questions. This chapter provides an overview of how analysis strategies have contributed to constructing these pipelines, how specific domain knowledge is integrated in these analyses, and which interpretation contexts have been contributed to successful approaches.

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Topographic maps automatic interpretation : Some proposed strategies

Cited by 9 publications

References 13 publications

Mapping Long-Term Dynamics of Population and Dwellings Based on a Multi-Temporal Analysis of Urban Morphologies

Mapping Long-Term Dynamics of Population and Dwellings Based on a Multi-Temporal Analysis of Urban Morphologies

Automatic Text Removal and Replacement in Scanned Meteorological Thematic Maps

Analysis and Interpretation of Graphical Documents

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