基于GNSS定位和卫星影像的铁路中线数据生成方法研究

Research of Railway Centerline Data Generating Method Based on GNSS Positioning and Satellite Images

随着我国铁路建设事业发展,GNSS卫星定位、卫星影像等技术越来越多的应用于铁路测绘领域。在一条铁路正式开通前,获取其中线数据有利于开展相关仿真试验,或为后期高精度制图提供初始数据。为解决获取及生成铁路中线数据采样量大等问题,采用了结合卫星定位和卫星影像的数据生成方法,在铁轨中线上间隔几十米至上百米采集卫星定位的大地坐标,通过坐标变换、曲线插值算法生成所需的铁路中线坐标点,再结合卫星影像优化算法参数,得到更精确的数据点。研究表明,通过一定距离间隔的卫星定位,生成短距离间隔的密集数据点,可减少卫星定位采样工作量。最后,基于在某铁路上实际采集的数据,验证了该方法的有效性。

With the development of railway construction in China,the Global Navigation Satellite System(GNSS)and satellite imaging technology have more applications in the railway surveying field.Before the formal operation of a railway,the original railway centerline data is necessary to perform related simulations,or to provide initial data for subsequent electronic map with high resolution.To solve the problem of obtaining a large amount of railway centerline data,a data generation method which based on satellite positioning and satellite image was proposed.The geodetic coordinates were obtained by satellite positioning,which were sampled along the railway centerline and the sampling interval was few meters.By transforming coordinates,the needed data was generated through the curve interpolation algorithm.The research shows that,the algorithm parameters could be optimized through satellite images,by which more dense and precise data could be obtained and workload could be reduced.Finally,based on data sampled from a project,the method was verified.