11/28/2023 0 Comments Raster topographic maps![]() ![]() Haberäcker P., 1995, Praxis der Digitalen Bildverarbeitung und Mustererkennung 14 der Schweizerischen Gesellschaft für Kartographie. Proceedings Kartographie Kongress Interlaken 96, Kartographische Publikationsreihe Nr. ![]() Stengele R., 1993, Kartographische Mustererkennung durch Template Matching, Bericht 230 des Instituts für Geodäsie und Photogrammetrie.įrischknecht St., 1996, Extraktion beliebig orientierter Kartensymbole und Schriftelemente aus gescannten topographischen Karten durch rotationsinvariante Filterfunktionen und Template Matching. 54 des Instituts für Geodäsie und Photogrammetrie der ETH Zürich. Stengele R., 1995, Kartographische Mustererkennung, Dissertation ETH Nr. This process is experimental and the keywords may be updated as the learning algorithm improves. These keywords were added by machine and not by the authors. The methods presented have been tested in many topographic maps and found to be operationally and qualitatively suitable for automatic processing. The resulting data can be exported as DXF to standard CAD-packages or GIS-Systems for further use. The vectorization occurs by adjusting the end points of straight line segments, facilitated by robust estimation functions which are resistant to falsely assigned parts of areal objects and stable with respect to deviation from the given distributional model. ![]() Furthermore, a new procedure that provides an automatic vectorization of areal objects is shown. The segmentation and the features can serve as a preselection in the raster image to obtain information about regions or objects of high, low or no interest. All segmented areas are encoded uniquely, which allows the calculation of features for every area. An approach of knowledge-based Template Matching with high recognition rates (about 95%) and a procedure to segment and isolate coherent areas of a colour layer are presented. The goal is to obtain multiple information and structured objects from digital topographic maps in raster format using an automated process. This paper presents results of an ongoing project in the field of pattern recognition and automatic vectorization. ![]()
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