Skip to main content
Log in

Research on 3D geological modeling method based on section thinning-densification and close-range photogrammetry

Take Chengdu international biological city as an example

  • Research Article
  • Published:
Earth Science Informatics Aims and scope Submit manuscript

Abstract

When 3D modeling of the geological body is carried out based on the section, problems such as unable to close the structural plane, slow rendering speed of the model and uneven and long and narrow section triangle network will occur due to the situation of super near point or too dense fold point. To solve the appealing problem, this paper proposes a section thinning-densification method based on the Douglas Peucker algorithm and equidistance algorithm. When processing the original section data, the Douglas Peucker algorithm is used for thinning, and then the equal distance is used for density increase. In this way, the section obtained by thinning-densification method solves the problem of uneven break points on the original section line and does not affect the shape of the section line, effectively solving the problem caused by too dense or too sparse break points on the section line in 3D geological modeling Series of modeling problems. In this paper, through the research on the modeling method of the above ground structure, the application demonstration of the above-ground and underground integrated three-dimensional model construction in Chengdu International Biological city is carried out, which verifies that the above-ground and underground integrated three-dimensional model construction technology is feasible and applicable and worthy of promotion.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  • Ai-Kheder S, Al-Shawabkea Y, Haala N et al (2009) Developing a documentation system for desert palaces in Jordan using 3D laser scanning and digital photogrammetry[J]. J Archaeol Sci 36:537–546

    Article  Google Scholar 

  • Bai L, Lin M, Weihang P (2018) 3Dgeological modeling of Fujian Shimen crater based on cross section[J]. China Sciencepaper 13(15):1716–1721 (in Chinese)

    Google Scholar 

  • Biosca JM, Lerma JL (2008) Unsupervised Robbust planar segmentation of Terrestial laser laser scanner point clouds based on fuzzy clustering methods[J]. ISPRS J Photogramm Remote Sens 63(1):84–98

    Article  Google Scholar 

  • Bornik A, Karner K, Bauer J, Leberl F, Mayer H (2001) High quality texture reconstruction from multiple views[J]. J Vis Comput Animat 12(5):263–276

    Article  Google Scholar 

  • Chen J, Xiaoming H, Binshuang Z et al (2019a) Real-time identification system of asphalt pavement texture based on the close-range photogrammetry[J]. Constr Build Mater 226:910–919

    Article  Google Scholar 

  • Chen G, Yiping T, Xialin Z et al (2019b) Rapid construction and uncertainty analysis of 3D geological models based on exploration sections[J]. Geol Sci Tech Inf 38(2):275–280 (in Chinese)

    Google Scholar 

  • Dabove P, Di Pietra V, Lingua AM (2018) Close range photogrammetry with tablet technology in post-earthquake scenario: Sant’Agostino church in Amatrice[J]. GeoInformatica 22(2):463–477

  • Entwistle JA, McCaffrey KJW, Abrahams PW et al (2009) Three-dimensional ( 3D ) visualization: the application of terrestrial laser scanning in the investigation of historical Scottish farming townships[J]. J Archaeol Sci 36:860–866

    Article  Google Scholar 

  • Haneberg WC (2008) Using close range terrestrial digital photogrammetry for 3-D rock slope modeling and discontinuity mapping in the United States[J]. Bull Engeol Environ 67:457–469

    Article  Google Scholar 

  • Julien T, Jean PM, Christophe D et al (2014) Imagebased correlation of laser scanning point cloud time series for landslide monitoring[J]. Int J Appl Earth Obs Geoinf 32:1–18

    Article  Google Scholar 

  • Kaufmann O, Martin T (2008) 3Dgeological modelling from boreholes, cross-sections and geological maps application over former natural gas storages in coal mines[J]. Comput Geosci 34(3):278–290

    Article  Google Scholar 

  • Hu H, Zhu Q, Du Z et al (2015) Reliable Spatial relationship constrained feature point matching of oblique aerial images [J]. Photogramm Eng Remote Sens 81(1):49–58

    Article  Google Scholar 

  • Ko YY, Han JY, Chou JY (2016) Application of close-range photogrammetry for post-failure reconnaissance of a Retaining Wall[J]. Geotechnical Hazards from Large Earthquakes and Heavy Rainfalls:503–512

  • Labatut P, Pons JP, Keriven R (2009) Robust and efficient surface reconstruction from range data[J]. Computer Graphics Forum 28(8):2275–2290

    Article  Google Scholar 

  • Li D, Xiao X, Guo B et al (2016) Oblique Image Based Automatic Aerotriangulation and Its Application in 3DCity Model Reconstruction[J]. Geomatics and Information Science of Wuhan University 41(6):711–721

  • Liu W, Zhou H (2018) Three–dimensional Modeling Contrast Analysis Based on Different Overlap under Oblique Photography. Geomatics and Spatial Information Technology 41(12):225–228 (in Chinese)

  • Lo SH (2014) 3D Delaunay triangulation of non-uniform point distributions[J]. Finite Elem Anal Des 90(11):113–130

    Article  Google Scholar 

  • Park SY, Subbara OM (2003) An accurate and fast point -to-plane registration technique[J]. Pattern Recog Let 24:2967–2976

    Article  Google Scholar 

  • Qin R, Gruen A (2014) 3D change detection at street level using mobile laser scanning point clouds and terrestrial images[J]. ISPRS Journal of Photogrammetry and Remote Sensing (90):23–35

  • Qu H, Pan M, Wang Y, et al (2006) Three-dimensional Geological Modeling from Topological Cross- Sections[J]. Acta Scientiarum Naturalium Universitatis Pekinensis 42(6):717–722. (in Chinese)

  • Wang BJ, Shi B, Song Z (2009) A simple approach to 3D geological Modelling and visualization[J]. Bull Eng Geol Environ 68(4):559–565. https://doi.org/10.1007/s10064-009-0233-y

    Article  Google Scholar 

  • Wang S (2003) Research & Development in 3-D modeling visualization system based on close range photogrammetry[D]. Xi’an:Xi’an Univ Sci Tech

  • Wang Y, Xue S, Pan M et al (2003) An Automatic 3D Vector Data Creation Algorithm Based on Topology of Section[J]. Computer Engineering and Applications 39(5):1–2. (in Chinese)

  • Wang Z, Pan M, Qu H et al (2007) Triangulation Visualization of Three-Dimensional Topological[J]. Geol Sec Geography Geo-Inform Sci 23(5):42–45. (in Chinese)

  • Wu Q, Xu H, Xukai Z et al (2005) An effective method for 3Dgeological modeling with multi-source data integration[J]. Comput Geosci 31(1):35–43

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by the Geological Survey of the China Geological Survey of the Ministry of Natural Resources, “Chengdu Multi-element City Geological Survey”(DD20189210).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ming Hao.

Additional information

Communicated by: H. Babaie

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hao, M., Wang, D., Deng, C. et al. Research on 3D geological modeling method based on section thinning-densification and close-range photogrammetry. Earth Sci Inform 13, 763–772 (2020). https://doi.org/10.1007/s12145-020-00463-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12145-020-00463-8

Keywords

Navigation