DocumentCode :
3225155
Title :
An interpretation system for cadastral maps
Author :
Katona, E. ; Hudra, Gy.
Author_Institution :
Jozsef Attila Univ., Szeged, Hungary
fYear :
1999
fDate :
1999
Firstpage :
792
Lastpage :
797
Abstract :
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
Keywords :
cartography; geographic information systems; image enhancement; image recognition; image segmentation; spatial data structures; visual databases; DG data structure; GIS applications; Hungary; automatic recognition; cadastral maps; complex objects; drawing quality enhancement; dynamic description; hierarchical structures; land register maps; map objects; raster-to-vector conversion; robust map interpretation system; scanned maps; segmentation; spatial database; symbol recognition; Buildings; Electrical capacitance tomography; Geographic Information Systems; Image converters; Image quality; Image recognition; Image segmentation; Neural networks; Robustness; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
Type :
conf
DOI :
10.1109/ICIAP.1999.797692
Filename :
797692
Link To Document :
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