导航电子地图中道路网增量缩编更新信息的提取

发布时间：2018-04-14 01:34

本文选题：导航电子地图 + 缩编更新　；参考：《首都师范大学》2013年硕士论文

【摘要】：导航电子地图经过几十年的发展目前处于高速发展时期,它对数据的现势性和准确性要求非常高,但目前导航数据尤其是道路网数据的及时更新难以实现,这严重影响了导航系统规划路径的正确性和合理性。如何使变化信息及时准确的反映到导航电子地图数据中,成为制约导航电子地图发展应用的一个难题。而现在各个导航公司己经建成了系列比例尺路网数据库,在这种情况下利用已经取得的大比例尺增量更新数据和成果,基于缩编更新模式用新的大比例尺地图数据更新旧的小比例尺地图数据,可以减少地图更新中的重复劳动,保证各级比例尺数据具有一致性,提高地图数据更新的效率,具有很好的应用参考价值。在此背景下,本文讨论了用大比例尺道路网地图对小比例尺地图进行缩编更新的主要理论依据和技术路线,主要包括：详细阐述了在进行同比例尺目标匹配时的理论依据和阈值计算原理,利用面积迭置率和最大类间方差的方法确定了进行目标识别和提取时的阈值,并通过MATLAB和二次开发进行了实验验证。分析了道路数据之间的拓扑关系,并对需要缩编更新的数据建立了拓扑。按照网眼密度的分布规律确定了自动选取的密度阈值,对数据进行了提取得到了新的小比例尺道路数据。分析了实体变化类型、更新操作算子和服务器端更新操作的对应关系,给出了服务器端更新操作的流程,通过实验用提取的增量信息文件实现了服务器端旧版小比例尺数据的更新。研究结果表明：利用制图综合技术通过增量缩编更新可以高效率的实现道路各级比例尺数据的更新,是未来研究的重点。
[Abstract]:After decades of development, navigation electronic map is in a period of rapid development. It requires very high accuracy and present data, but it is difficult to realize the timely updating of navigation data, especially road network data.This seriously affects the correctness and rationality of the navigation system planning path.How to reflect the change information to the navigation electronic map data in time and accurately has become a difficult problem for the development and application of navigation electronic map.Now that various navigation companies have built a series of scale network databases, in this case, the data and results have been updated by using the large scale increments that have been achieved.Based on the model of downsizing and updating, updating old and small scale map data with new large scale map data can reduce the repeated work in map updating, ensure consistency of scale data at all levels, and improve the efficiency of updating map data.It has good application reference value.In this context, this paper discusses the main theoretical basis and technical route for the reduction and updating of small scale maps with large scale road network maps.The main contents are as follows: the theoretical basis and the calculation principle of threshold are described in detail, and the threshold value of target recognition and extraction is determined by using the method of area overlap rate and maximum inter-class variance.The experimental results are verified by MATLAB and secondary development.The topological relationship between road data is analyzed, and the topology of the data that needs to be downsized and updated is established.According to the distribution law of mesh density, the automatically selected density threshold is determined, and a new small scale road data is obtained by extracting the data.In this paper, the relation of entity change type, update operator and server update operation is analyzed, and the process of server side update operation is given.The small scale data of the old version of the server is updated by the incremental information file extracted from the experiment.The research results show that the use of cartographic generalization technology through incremental downsizing can efficiently realize the updating of road scale data at all levels, which is the focus of future research.
【学位授予单位】：首都师范大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：U495;P283.7

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