Grid Vector and Electronic Map Intelligent Data Collection of Historical and Cultural Districts
Streets in historical and cultural compounds not only inherit historical and cultural connotations, but also undertake functions such as tourism, transportation, and residence. In view of the current intelligent collection of map data of historical and cultural com-pounds in China, the data collection methods adopted have problems such as low data collection efficiency, large data division error, and poor data processing ability. A new intelligent collection of historical and cultural compound intelligent electronic map data is pro-posed. The method, based on the combination of grid and vector, constructs a data acquisition model and improves data acquisition e-quipment. Using the Web embedded integration model, the data retrieval model is designed based on the differential evolution algo-rithm, and the map is formed. Based on the vectorized parallel processing of raster data, this method introduces a resource allocation algorithm to perform high-accuracy data division and analyzes the high-accuracy data. The experimental results show that the average collection efficiency of this data collection method is 112 M/S, the correctness of data division is about 94％, and it has good adaptive ability.
raster datadata vectorizationmap surveying and mappinghistorical and cultural districtsintelligent electronic maps
万方数据
维普
