Cadastre map assembling: a puzzle game resolution

Jean-Marc Viglino, L. Guigues
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引用次数: 7

Abstract

The French cadastral map consists of over 500,000 map sheets that cover the whole territory. The raster digitisation of these paper maps is in progress. In order to exploit them, we have to assemble and geo-reference the set of maps to make them superimposable on other geographic information in a GIS. The problem can be seen as a complex jigsaw puzzle where the pieces are the cadastre sections extracted from the maps. In this paper, we present an automatic solution to this geographic jigsaw puzzle, based on a non-combinatorial optimisation method that maximises the "sticking" between every piece and its neighbours. The first step is to extract image features from the documents. Then we compute the sticking relationships between each pair of pieces. The puzzle resolution itself is based on an L1 norm optimisation. A method to detect process faults is discussed. The final goal of the process is to integrate every piece of the puzzle (i.e. the cadastre maps) into a national geographic reference frame and database.
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地籍地图组装:解谜游戏
法国地籍地图由50多万张地图组成,覆盖了整个领土。这些纸质地图的栅格数字化正在进行中。为了利用它们,我们必须将这些地图集合起来并进行地理参考,使它们与GIS中的其他地理信息重叠。这个问题可以看作是一个复杂的拼图游戏,其中的碎片是从地图中提取的地籍部分。在本文中,我们提出了一种基于非组合优化方法的地理拼图的自动解决方案,该方法最大限度地提高了每个块与其相邻块之间的“粘着”。第一步是从文档中提取图像特征。然后计算每对棋子之间的粘着关系。谜题解决本身是基于L1规范优化的。讨论了一种过程故障检测方法。该过程的最终目标是将拼图的每一块(即地籍地图)整合到国家地理参考框架和数据库中。
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