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| GPS高程拟合支持向量机模型 | |
| 引用本文： | 吕亚军,王亚军,鹿先锋,鲁建伟.GPS高程拟合支持向量机模型[J].全球定位系统,2009,34(3):11-13. |
| 作者姓名： | 吕亚军 王亚军 鹿先锋 鲁建伟 |
| 作者单位： | 1. 中煤航测遥感局,西安,710054 2. 徐州市国土资源局,徐州,221000 3. 七三○八五部队自动化工作站,徐州,221000 |
| 摘 要： | 为了快速获取GPS高程异常值，提出了基于最小二乘支持向量机（LS—SVM）的GPS高程异常值求取模型，介绍了最小二乘支持向量机的原理与优越性。利用该模型进行了高程异常的拟合，并对已知点进行了检验。结果表明：其结果是可靠的，在有限样本情况下完全可以达到传统GPS高程拟舍的效果，且其实现起来更简单，具有一定的科学性和实用性。 |
| 关 键 词： | 最小二乘支持向量机 预测模型 GPS高程拟合 高程异常 |
SVM Model for GPS Height Fitting |
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| LV Ya-jan,WANG Ya-jan,LU Xian-feng,LU Jian-wei.SVM Model for GPS Height Fitting[J].Gnss World of China,2009,34(3):11-13. | |
| Authors: | LV Ya-jan WANG Ya-jan LU Xian-feng LU Jian-wei |
| Institution: | 1.China Coal Bureau of Aerophotogrammetry and Remote Sensing.Xi'an 710054 China;2.Xuzhou Homeland Natural Resources Bureau;Xuzhou 221000;China;3.Automatic Station;73085 Army;Xuzhou 221000 China |
| Abstract: | In order to get the GPS Height Anomaly value quickly,it has proposed a new mathematical model for calculating the parameters based on the Least Squares Support Vector Machine(LS-SVM) theory.The theory and advantage of LSSVM are discussed.The GPS height fitting is carried,and the known points are validated,as results,it is reliable,and the method is feasible and effective,the model can acquire the same precision as traditional fitting methods in GPS height fitting,which is simpler and needing few know point.... |
| Keywords: | Least Squares Support Vector Machine predicting model GPS height fitting height anomaly |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |