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SEMI AUTOMATIC DIGITIZING OF CONTOURS FROM 1:25000 SCALED MAPS

机译:SEMI自动数字化从1:25000缩放地图的轮廓

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摘要

It is an expensive and time consuming task to digitize 1:25000 scaled maps which are made in the past with analogue methods. The development in digital image processing depending on the development of hardware technology made this process less expensive and faster. This study is based on this reality. In this thesis a new algorithm which aims to decrease human work time by making the work carried out to digitize 1:25000 scaled maps easily and less time consuming was developed. The first step of the process is interactively rectification of the map. The grid network is used for rectification. Scanned maps at the scale of 1:25000 and the training area on this map which is given by the operator that is showing the elevation contour pixels are used as input data. The other elevation contour pixels are determined automatically. Elevation contours in vector format are created from the elevation contours in raster format. Produced vectors may contain errors depended on the topographic condition of the map area. Elevation contours with XY coordinates are generated after the manual editing. The Z values of these contours are given by the operator before the end of the process. Finally, produced data is saved in ASCII format which is supported by common CAD, GIS and engineering software. The output file contains X, Y, Z values delimited with comma (",").
机译:它是数字化1:25000缩放的映射的昂贵且耗时的任务,这些映射以模拟方法制作。根据硬件技术的开发,数字图像处理的开发使得该过程更昂贵,更快。本研究基于这种现实。在本文中,一种新的算法,旨在通过使对数字化1:25000缩放的地图进行数字化的工作来减少人工时间的新算法。该过程的第一步是互动地整流地图。网格网络用于整流。扫描的映射为1:25000的刻度和该地图上的训练区域由显示高程轮廓像素的操作员给出的操作员被用作输入数据。另一个高度轮廓像素自动确定。矢量格式的高程轮廓由栅格格式的高程轮廓创建。产生的向量可能包含依赖于地图区域的地形条件的错误。手动编辑后产生带XY坐标的高程轮廓。这些轮廓的z值由操作员在过程结束前给出。最后,生成的数据以ASCII格式保存,该格式由Common CAD,GIS和工程软件支持。输出文件包含x,y,z值与逗号(“,”)界定。

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