Least-Square Collocation and Its Application in GPS Elevation Fitting

Ruifang Yang

Abstract

Measurement technology is constantly applied in industrial field, and GPS technology has made great contribution to the efficiency and accuracy of measurement. GPS elevation fitting is researched on the basis of geodetic height elevation and normal height elevation. There are some abnormalities and errors between the two elevations, so elevation fitting is adopted to eliminate the abnormalities and errors. The work mainly discussed the application of least-square collocation in GPS elevation fitting, and then explored its future development in this field. In a word, the application of elevation fitting based on the optimization of leastsquare collocation can effectively solve elevation abnormalities and errors.

References

  1. Du Hongfei, Xie Shaofeng, Sun Changyu. Application of Least-Square Collocation in GPS Elevation Abnormality Prediction. Henan Science, 2013(02): 208- 211
  2. Li Chengren, Yue Dongjie, Ding Xu, Yuan Bao. Comparison of the Application of Least-Square Collocation and Multisurface Function in Elevation Abnormality Prediction. Site Investigation Science and Technology, 2013(03): 40-42
  3. Liu Hao. Application of Least-Square Collocation and Kriging Method in GPS Elevation. Management & Technology of SME, 2013(34): 163-164
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Paper Citation


in Harvard Style

Yang R. (2016). Least-Square Collocation and Its Application in GPS Elevation Fitting . In ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME, ISBN 978-989-758-208-0, pages 79-82. DOI: 10.5220/0006444100790082


in Bibtex Style

@conference{isme16,
author={Ruifang Yang},
title={Least-Square Collocation and Its Application in GPS Elevation Fitting},
booktitle={ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,},
year={2016},
pages={79-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006444100790082},
isbn={978-989-758-208-0},
}


in EndNote Style

TY - CONF
JO - ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,
TI - Least-Square Collocation and Its Application in GPS Elevation Fitting
SN - 978-989-758-208-0
AU - Yang R.
PY - 2016
SP - 79
EP - 82
DO - 10.5220/0006444100790082