Research on cascade updating methods for multi-scale map data

This paper firstly suggested that multi-scale map data updating is based on the updating of larger scale map data, and the other smaller scale map data are updated step by step. Nowadays, there have been quite a few technical means to update the larger scale data, including field surveying, digital photogrammetry, remote sensing, LiDAR and digitization from the existing topographic maps, etc. Secondly, an updating method for incremental generalization cascade updating was provided according to the demands for map data at intermediate and small scale in china. The matching association table was established based on the determination of the matching relation and similar values through the method of the matching of multi-scale spatial features. The incremental information was then acquired through variation detection considering cartographic generalization impact. It was used to realize the incremental updating of map data. Furthermore, the cascade updating of multi-scale data were realized by the next matching association table, which making sure of uniformity of multi-scale data.