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GPS高程拟合方法研究 被引量:4

Study on GPS Elevation Abnormal Fitting Method
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摘要 当前工程测量中采用的高程为正常高,而GPS测量获得的高程为大地高,两者之间存在高程异常。为求解高程异常值,结合Matlab软件,对GPS高程拟合方法进行了研究。结果表明:(1)测区点位呈面状分布时,采用曲面拟合法更能反映测区的似大地水准面状况,其精度优于曲线拟合法;(2)BP神经网络拟合法的拟合效果较好,并且组合法的拟合精度优于单一拟合法的精度;(3)曲面拟合法、曲线拟合法、BP神经网络拟合法以及组合法的内、外符合精度均满足四等几何水准要求。研究表明,运用Matlab软件进行GPS高程拟合精度较高。 The elevation used in the current engineering survey is normal height, while the elevation obtained by GPS surveying is geodetic height, the elevation anomaly between them is existed. In order to deal with the height anomaly value, the method of GPS height fitting method based on the powerful data processing function of Matlab sofware, and combing with the engineering examples, by using the programming function of Matlab software to realize the GPS height anomaly fitting. The re- suits show that : (1)if the test area is with distributed with planar shape, the quasigeoid characteristics of the test area can be re- flected effectively by using the surface fitting method; (2)the fitting effects of the BP neural network fitting method is good, the fitting efficient precise of the combined fitting method is superior to the one of single fitting methods;(3)the external and inter- nal coincidence precises of the surface fitting method, curve fitting method, BP neural network fitting method and the combined fitting method can meet the requirements of four geometric level. The study results further indicated that it is feasible and effec- tive to apply Matlab software to conduct GPS hight fitting.
作者 方懿
出处 《金属矿山》 CAS 北大核心 2017年第10期43-46,共4页 Metal Mine
关键词 GPS BP神经网络 高程异常 曲面拟合 曲线拟合 GPS, BP neural network, Height anomaly, Surface fitting, Curve fitting
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