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Vectorization of contour lines from scanned topographic maps

机译:从扫描的地形图对轮廓线进行矢量化

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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.
机译:在本文中,我们提出了一种从商业印刷地形图生成轮廓识别和DEM(数字高程模型)的通用方法。由于存在紧密间隔的或破裂的轮廓,重叠的数据层以及由于带纹理的背景而引起的复杂性等问题,自动扫描地形图的轮廓识别是一个难题。从扫描地图开始,我们的方法采用了多阶段过程,其中大致包括轮廓识别,清洁和矢量化。虽然识别和矢量化步骤是基于对现有图像处理技术的校准,但清洁步骤仍使用基于测地线距离的改进方法。在300 DPI扫描的比例为1:50,000的印度调查表扫描的复杂度不同的轮廓区域上对提出的技术进行了测试。已经发现,在规则轮廓区域的情况下,所提出的技术导致了干净的分割,轮廓边界清晰。但是,需要不同级别的手动干预才能对打印地图中表示的复杂轮廓区域进行矢量化处理。

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