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To create a spatial database for some GIS applications, it is a challenge to recognize automatically all the simple and complex map objects on scanned maps. This paper presents a robust map interpretation system developed to process Hungarian land register maps (cadastral maps). Processing starts with a raster-to-vector conversion generating a raw vector image from the scanned map. All recognition steps are performed on this raw vector image: segmentation, recognition of separated and not separated symbols, recognition of more complex objects (buildings and parcels). Finally, drawing quality is enhanced utilizing the recognition results. Interpretation is supported by a special data structure, called DG, ensuring dynamic description of hierarchical structures of drawing objects. This data structure is an essential part of our concept, therefore it is discussed in the paper.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |