Skip to main content
SpringerLink
Log in

A displacement-relay videometric method for surface subsidence surveillance in unstable areas

  • Article
  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

When measuring the surface subsidence of unstable areas such as railroad beds and large construction fields, it is not practical to always find stable positions to install measurement instruments. Yet installing those instruments in unstable positions will cause measurement errors or even the complete failure of long-term subsidence surveillance. In this paper, the innovative concept and its method of “displacement-relay videometrics” are proposed. With the method, a double-headed camera is designed, and two constraints, the “fixation constraint” and the “homologous constraint”, are established to construct the displacement-relay measurement equations, which can concurrently give the subsidence of the points to be measured and the positions where the cameras are fixed. The method and its measurement system are thus capable of automatically measuring the surface subsidence under the condition that the cameras are mounted on unstable locations over long durations. Therefore, the method has the broad prospect of undertaking automatic, long-term and continuous measurement for surface subsidence in engineering projects such as railroad beds, bridges and the ground beds of tall buildings. The proposed method opens a new area that cameras can be mounted on unstable platform to make high accuracy measurements, which is of great significance for applications.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Sirivachiraporn A, Phienwej N. Ground movements in EPB shield tunneling of Bangkok subway project and impacts on adjacent buildings. Tunn Undergr Sp Tech, 2012, 30:10–24

    Article  Google Scholar 

  2. Ozcoban S, Berilgen M, Havvanur K, et al. Staged construction and settlement of a dam founded on soft clay. J Geotech Geoenviron, 2007, 133:1003–1016

    Article  Google Scholar 

  3. Eyers R D, Mills J P. Subsidence detection using integrated multi temporal airborne imagery. ISPRS Archives, 2004, 34:714–719

    Google Scholar 

  4. Sato H P, Abe K, Ootaki O. GPS-measured land subsidence in Ojiya City, Niigata Prefecture, Japan. Eng Geo, 2003, 67:379–390

    Article  Google Scholar 

  5. Engelkemeir R, Khan S D, Burke K. Surface deformation in Houston, Texas using GPS. Tectonophysics, 2010, 490:47–54

    Article  Google Scholar 

  6. Spreckels V, Wegmüller U, Strozzi T, et al. Detection and observation of underground coal mining-induced surface deformation with differential SAR interferometry, ISPRS Workshop “High Resolution Mapping from Space”. Hannover: 2001. 227–234

    Google Scholar 

  7. Tomás R, Herrera G, Delgado J, et al. A ground subsidence study based on DInSAR data: Calibration of soil parameters and subsidence prediction in Murcia City (Spain). Eng Geo, 2010, 111:19–30

    Article  Google Scholar 

  8. Werner C, Wegmüller U, Strozzi, T, et al. Interferometric point target analysis for deformation mapping. Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-03), 2003, 21–25 July, Toulouse. France 7, 4362–4364

  9. Knechtlova B, Halounova L, Hlavacova I. Subsidence monitoring in northern bohemia by method of permanent scatterers, GIS Ostrava. Ostrava, 2010. 1–7

    Google Scholar 

  10. Luhmann T, Robson S, Kyle S, et al. Close Range Photogrammetry. New York: Whittles Publishing. 2006. 15–24

    Google Scholar 

  11. Lichti D D, Habib A, Detchev I. An object-space simulation method for low-cost digital camera stability testing. Photogramm Eng Rem S, 2009, 75:1407–1414

    Article  Google Scholar 

  12. Yu Q F, Sun X Y, Jiang G W, et al. Relay camera videometrics based conversion method for unstable platform to static reference. Sci China Tech Sci, 2011, 54:1017–1023

    Article  Google Scholar 

  13. Läbe T, Förstner W. Geometric stability of low-cost digital consumer cameras. ISPRS Archives, 2004, 35:528–534

    Google Scholar 

  14. Habib A, Morgan M. Stability analysis and geometric calibration of off-the-shelf digital cameras. Photogramm Eng Rem S, 2005, 71:733–741

    Article  Google Scholar 

  15. Yu Q, Jiang G, Fu S, et al. Fold-ray videometrics method for the deformation measurement of non-intervisible large structures. Appl Optics, 2009, 48:4683–4687

    Article  Google Scholar 

  16. Jiang G, Fu S, Chao Z, et al. Pose-relay videometrics based ship deformation measurement system and sea trials. Chin Sci Bull, 2011, 56:113–118

    Article  Google Scholar 

  17. Gao H, Cai J F, Shen Z, et al. Robust principal component analysis-based four-dimensional computed tomography. Phys Med Biol, 2011, 56:3181–3198

    Article  Google Scholar 

  18. Candes E J, Li X, Ma Y, et al. Robust principal component analysis? J ACM, 2011, 58:1–37

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, 410073, China

    QiFeng Yu, Yang Shang, Yong Xu, BangLei Guan & XianWei Zhu

  2. Hunan Key Laboratory of Videometrics and Vision Navigation, Changsha, 410073, China

    QiFeng Yu, GuangWen Jiang, Yang Shang, Yong Xu, XiaoLin Liu, SiHua Fu, BangLei Guan & XianWei Zhu

  3. College of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China

    GuangWen Jiang & SiHua Fu

  4. College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, 410073, China

    XiaoLin Liu

Authors
  1. QiFeng Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. GuangWen Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yang Shang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yong Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. XiaoLin Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. SiHua Fu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. BangLei Guan
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. XianWei Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to QiFeng Yu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, Q., Jiang, G., Shang, Y. et al. A displacement-relay videometric method for surface subsidence surveillance in unstable areas. Sci. China Technol. Sci. 58, 1105–1111 (2015). https://doi.org/10.1007/s11431-015-5811-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-015-5811-6

Keywords

Search

Navigation