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A platform for research: civil engineering, architecture and urbanism
Vectorization of contour lines from scanned topographic maps
Abstract In this paper we propose a general method for contour recognition and DEM (Digital Elevation Models) generation from commercially available printed topographic maps. Automatic contour recognition of a scanned topographic map is a difficult problem due to the presence of closely spaced or broken contours, overlapping data layers and complexities arising from textured background etc. Beginning with a scanned map our approach utilizes a multistage process which broadly includes contour identification, cleaning and vectorization. While the identification and vectorization steps are based on calibrating existing image processing techniques, the cleaning step uses a modified geodesic distance based approach. The proposed technique was tested on contour regions of varying complexity scanned from a Survey of India toposheet of scale 1:50,000, scanned at 300 DPI. It was found that the proposed technique resulted in clean segmentation, crisp contour borders in the case of regular contour regions. However, differing levels of manual interventions were required to vectorize complex contour regions represented in the printed map.
Highlights ► We propose a procedure to develop a digital elevation model from scanned topographic paper map. ► The proposed procedure overcomes numerous challenges due to existing map characteristics. ► Good results are obtained for most of the test cases evaluated. ► Manual correction is required in regions of steep slopes and cliffs.
Vectorization of contour lines from scanned topographic maps
Abstract In this paper we propose a general method for contour recognition and DEM (Digital Elevation Models) generation from commercially available printed topographic maps. Automatic contour recognition of a scanned topographic map is a difficult problem due to the presence of closely spaced or broken contours, overlapping data layers and complexities arising from textured background etc. Beginning with a scanned map our approach utilizes a multistage process which broadly includes contour identification, cleaning and vectorization. While the identification and vectorization steps are based on calibrating existing image processing techniques, the cleaning step uses a modified geodesic distance based approach. The proposed technique was tested on contour regions of varying complexity scanned from a Survey of India toposheet of scale 1:50,000, scanned at 300 DPI. It was found that the proposed technique resulted in clean segmentation, crisp contour borders in the case of regular contour regions. However, differing levels of manual interventions were required to vectorize complex contour regions represented in the printed map.
Highlights ► We propose a procedure to develop a digital elevation model from scanned topographic paper map. ► The proposed procedure overcomes numerous challenges due to existing map characteristics. ► Good results are obtained for most of the test cases evaluated. ► Manual correction is required in regions of steep slopes and cliffs.
Vectorization of contour lines from scanned topographic maps
Oka, Shriram (author) / Garg, Akash (author) / Varghese, Koshy (author)
Automation in Construction ; 22 ; 192-202
2011-06-22
11 pages
Article (Journal)
Electronic Resource
English
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