摘要
选取适当的GPS/水准点计算出实测高程异常,移去EGM2008模型求得的重力高程异常,结合PSO-RBF神经网络对残余高程异常进行拟合,有效地提高了GPS高程拟合的精度。通过实例验证了该方法的可行性。
Several appropriate GPS/leveling points are selected to calculate measured height anomaly, deducted EGM2008 model to obtain the remaining model height anomaly, the PSO-RBF neural network is used to fit the residual elevation anomalies,and then the ac-curacy of height anomaly can be improved effectively. The feasibility of the method is veri-fied by an example.
出处
《全球定位系统》
2013年第4期53-55,95,共4页
Gnss World of China
基金
国家自然科学基金项目(批准号:41071294)
广西自然科学基金项目(批准号:桂科自0640178)
广西科学基金项目(批准号:桂科基0991023)
