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最小二乘支持向量机在GPS高程拟合中的应用研究

Application and Study on Least Squares Support Vector Machine in GPS Height Interpolation

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【作者】 朱华赵仲荣黄张裕谢波

【Author】 Zhu Hua;Zhao Zhongrong;Huang Zhangyu;Xie Bo;School of Earth Sciences and Engineering of Hohai University;

【机构】 河海大学地球科学与工程学院

【摘要】 GPS技术被广泛应用于测绘学科,然而GPS所采用的大地高系统与我国规定的正常高系统不同,两者之间存在一个高程异常,通过GPS高程拟合可以实现转换。该文将最小二乘支持向量机应用于GPS高程拟合,引用实例进行分析验证,与常用的几种GPS高程拟合方法相比,最小二乘支持向量机拟合效果较好,进行GPS高程拟合更有优势。

【Abstract】 GPS technology has been widely applied to the subject of surveying and mapping,but the GPS geodetic height system and the normal height system set by our country are different,there is a height anomaly between them,and it can be converted by GPS height interpolation. This paper applies least squares support vector machine( LSSVM) in GPS height interpolation,then takes an example for analysis and verification,the interpolation results are good compared with several common GPS height interpolation methods,it shows that LSSVM has more advantages in GPS height interpolation.

  • 【文献出处】 勘察科学技术 ,Site Investigation Science and Technology , 编辑部邮箱 ,2013年06期
  • 【分类号】P228.4
  • 【被引频次】3
  • 【下载频次】124
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