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https://ah.lib.nccu.edu.tw/handle/140.119/74471
題名: | Mitigating the systematic errors of E-GPS leveling using neural network method | 作者: | Lin, Lao-Sheng;Teng, H.-C. 林老生 |
貢獻者: | 地政學系 | 關鍵詞: | BP neural networks; Ellipsoidal Height; Neural network method; Orthometric heights; Real-time kinematic; Satellite positioning; Undulation; Virtual reference stations; Kinematics; Remote sensing; Neural networks | 日期: | 2012 | 上傳時間: | 10-Apr-2015 | 摘要: | e-GPS (Electronic Global Positioning System), which is used in Taiwan, is a type of real-time kinematic satellite positioning technology, such as VRS-RTK (Virtual Reference Station Real Time Kinematic). The height difference between ellipsoidal height h and orthometric height H is called undulation N. For a point p, if the values of h from e-GPS and N from regional geoid model are known, the H value of point p can be calculated using the following equation: H = h-N. This is the basic principle of e-GPS leveling. Data analysis of test results revealed that the estimated orthometric height from e-GPS leveling may have systematic errors. This paper proposes a BP (back-propagation) neural network and BP neural network method (BP&BP) method to manage the systematic errors of the estimated orthometric height Ĥ from e-GPS leveling. The main goal of the proposed method is to mitigate the systematic errors of orthometric height H from e-GPS leveling efficiently. Subsequently, the e-GPS leveling accuracy may be improved. Three data sets (including plane coordinates, ellipsoidal height h from static GPS, orthometric height H from first-order leveling, and ellipsoidal height h from e-GPS) of 145 benchmarks from Tainan City, Taiwan, were used to test the proposed method. The test results show that the proposed method can mitigate the systematic errors of orthometric height H from e-GPS leveling efficiently. The proposed methods and the detailed test results are presented in this paper. | 關聯: | 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 | 資料類型: | conference |
Appears in Collections: | 會議論文 |
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