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作 者:杜向锋[1] 黎晋博 张郁[3] 许闯 DU Xiangfeng;LI Jinbo;ZHANG Yu;XU Chuang(School of Surveying,Mapping and Remote Sensing Information,Guangdong Polytechnic of Industry and Commerce,Guangzhou 510510,China;Department of Surveying Engineering,Guangdong University of Technology,Guangzhou 510006,China;Guangzhou Urban Planning&Design Survey Research Institute,Guangzhou 510060,China;State Key Laboratory of Geodesy and geodynamics,Institute of Precision Surveying Science and Technology Innovation,Chinese Academy of Sciences,Wuhan 430077,China)
机构地区:[1]广东工贸职业技术学院测绘遥感信息学院,广州510510 [2]广东工业大学测绘工程系,广州510006 [3]广州市城市规划勘测设计研究院,广州510060 [4]中国科学院,精密测量科学与技术创新研究院,大地测量与地球动力学国家重点实验室,武汉430077
出 处:《测绘科学》2023年第2期85-91,共7页Science of Surveying and Mapping
基 金:国家自然科学基金项目(41974014,42274004);广东省自然科学基金项目(2022A1515010396);中国科学院精密测量科学与技术创新研究院大地测量与地球动力学国家重点实验室开放基金资助项目(SKLGED2021-1-2);广州市科技计划项目(202102080682)。
摘 要:针对GNSS高程转换过程中忽略了地形密度横向变化的问题,该文给出了顾及地形横向密度变化的GNSS高程转换方法。采用经典棱柱体空间积分对剩余地形模型进行建模来填补重力场模型中所遗漏的高频信息,并利用二次曲面法对残余高程异常进行拟合,较好地提升了高程转换精度。实验结果表明:与仅由重力场模型解算的高程异常相比,考虑剩余地形高程异常后,GNSS高程转换的精度整体提升了约0.4 cm;考虑地形横向密度变化后,GNSS高程转换的精度整体进一步提升了约0.1 cm;利用二次曲面拟合法对所有模型残余高程异常进行计算的结果显示,顾及地形密度横向变化后的GNSS高程转换方法给出结果最优,达到了3.4 cm。According to the fact that terrain lateral density variation during the global navigation satellite system(GNSS)height transformation is neglected,an approach for GNSS height transformation with consideration of terrain lateral density variation was presented in this paper.The omissive high-frequency information of gravity field model was filled by modeling of residual terrain model using classical prism space integral.Further,the final height anomaly was improved by fitting residual height anomaly using quadric surface method.Experimental results showed that compared with the height anomaly computed only by the gravity field model,the accuracy of GNSS height transformation was improved by about 0.4cm after considering the residual terrain height anomaly;after considering the change of terrain lateral density,the overall accuracy of GNSS height transformation was further improved by about 0.1cm;fitting residual elevation anomaly with quadric surface could effectively improve the calculation accuracy of elevation anomaly,and the accuracy of the optimal model proposed in this paper was 3.4cm.
分 类 号:P223[天文地球—大地测量学与测量工程]
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