Research of GPS Elevation Conversion Based on Least Square Support Vector Machine and BP Neural Network

Abstract:

This paper proposed the optical weighting combined mode of Least Square Support Vector Machine (LS-SVM) and BP Neural network. According to the measured data, this paper compared and analyzed the accuracy of LS-SVM model, BP Neural network model; quadratic polynomial curve surface fitting based on Total least-square algorithm and optimal weighting combined model, the data shows that the optimal weighting combined model has higher precision then others.

• Periodical: Applied Mechanics and Materials (Volumes 501-504)
• Pages: 2166-2171
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.501-504.2166
• Online since: January 2014
• Authors: Li Long Liu, Teng Xu Zhang*, Miao Zhou, Wei Wang, Liang Ke Huang
• Keywords: BP Neural Network (BPNN), GPS, Height Fitting, Ls-SVM, TLS

References

[1] LI Jiancheng. The Recent Chinese Terrestrial Digital Height Datum Model: Gravimetric Quasi-Geoid CNGG2011[J]. Acta Geodaetica et Cartographica Sinica, 651~660. (in Chinese).

[2] Zhang Qiuzhao, Zhang Shubi, Liu Jun, et al. GPS HEIGHT CONVERSION BASED ON BAYESIAN REGULARIZATION BP ARTIFICIAL NEURAL NETWORK[J]. Journal of Geodesy and Geodynamics, 2009，29（3）：84～87. (in Chinese).

[3] Zhang jie. Conversion of GPS height using geopotential model and BP neural network [J]. Journal of Geodesy and Geodynamics, 200407~410）9, (6): 407~410. (in Chinese).

[4] Ding Haiyong, Shun Jinghai. RESEARCH ON TOTAL LEAST-SQUARES FOR TRANSFORMATION OF GPS ELEVATION[J]. Journal of Geodesy and Geodynamics, 2013, 33(3): 52~55. (in Chinese).

[5] HUANG Liang-ke, LIU li-long, YAO Chao-long, et al. Area Quasi-Geoid Refine Based on Improved Kriging Method[J]. Journal of Guilin University of Technology, 2012, （2）: 107~109. (in Chinese).

[6] HUANG Liang-ke, LIU LI-long, TANG YAN-xin, et al. Area Quasi-Geoid Refine Based on Improved Kriging Method[J], Journal of Guilin University of Technology, 2013, 32（4）：532~536. (in Chinese).

[7] HUANG Lei, ZHANG Shu-bi, WANG Liang-liang, et al. Application of least squares support vector machines in GPS elevation fitting based on particle swarm optimization[J]. Science of Surveying and Mapping, 2010, 35（5）：190~192. (in Chinese).

[8] HUANG Lei, ZHANG Shu-bi, WANG Liang-liang, et al. Application of least squares support vector machines in GPS elevation fitting based on particle swarm optimization[J]. Science of Surveying and Mapping, 2010, 35（5）：190~192. (in Chinese).

[9] GU Yanping, ZHAO Wenjie, WU Zhansong. Least squares support vector machine algorithm[J]. Journal of Tsinghua University(Science and Technology, 2010, 50（7）：1063~1066. (in Chinese).

[10] Wang Jigang, Hu Yonghui and Kong Lingjie. Combined regional GPS height conversion model based on least squares support vector machines [J], Journal of Geodesy and Geodynamics, 2009, (5): 99~102. (in Chinese).

DOI: 10.1109/esiat.2009.182

[11] Zhou Lihan. Least Square Support Vector Machine in GPS Height Conversion[J]. Chinese Journal of Engineering Geophysics, 2010，7（2）：243～247. (in Chinese).

[12] Ren Chao, Li Hewang. Application of least squares support vector machine in GPS leveling[J]. Geotechnical Investigation & Surveying, 2012，7：55～57. (in Chinese).

[13] XIE Bo, LIU Nian-wang. Application of support vector machines in GPS leveling[J]. Science of Surveying and Mapping, 2011，36（1）：172～174. (in Chinese).