| 结合地形改正的神经网络算法在GNSS跨河高程传递中的应用 |
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| 引用本文： | 黄纪晨.结合地形改正的神经网络算法在GNSS跨河高程传递中的应用[J].测绘与空间地理信息,2018(3):137-141. |
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| 作者姓名： | 黄纪晨 |
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| 作者单位： | 新疆维吾尔自治区交通规划勘察设计研究院,新疆 乌鲁木齐,830006 |
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| 摘 要： | GNSS测量可以同时获得相对精度较高的三维坐标,是现代工程中重要的控制网布设手段。但GNSS观测数据只被用来布设平面控制网,高程数据并没有被充分利用。本文将神经网络算法和地形改正相结合,建立高程异常拟合模型,目的是充分利用GNSS的高程观测数据,在水准测量困难地区提高效率。
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| 关 键 词： | GNSS 三维坐标神经网络 地形改正 高程异常 GNSS three-dimensional coordinates the neural network the topographic correction height anomaly |
Using the Neural Network Model Combined with the Topographic Correction for GNSS Height-measurement of Crossing-river |
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| HUANG Jichen.Using the Neural Network Model Combined with the Topographic Correction for GNSS Height-measurement of Crossing-river[J].Geomatics & Spatial Information Technology,2018(3):137-141. |
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| Authors: | HUANG Jichen |
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| Abstract: | GNSS can obtain relatively high precision three-dimensional coordinates at the same time, and it is an important means to control network in modern engineering. But GNSS has been widely used in horizontal control network, and it be not fully used in height control network. In this paper, combining the neural network and topographic correction are set up the height anomaly model. The pur-pose is to make full use of the elevation of GNSS data, and it is more efficient in difficult areas. |
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