Abstract
We built a ‘virtual-world’ of real seabed for the visual analysis. Sub-bottom profile is imported in the 3D environment.” section-drilling” three-dimensional model is designed according to the characteristics of the multi-source comprehensive data under the seabed. In this model, the seabed stratigraphic profile obtained by seismic reflection is digitized into discrete points and interpolated with an approved Krig- ing arithmetic to produce uniform grid in every strata layer. The Delaunay triangular model is then constructed in every layer and calibrated using the drilling data to rec- tify the depth value of the dataset within the buffer. Finally, the constructed 3D seabed stratigraphic model is rendered in every layer by GPU shader engine. Based on this model, two state-of-the-art applications on website explorer and smartphone prove its ubiquitous feature. The resulting ‘3D Seabed’ is used for simulation, visualization, and analysis, by a set of interlinked, real-time layers of information about the 3D Seabed and its analysis result.








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References
Arnaud S, Bernard C (1999) 3D topological modelling and visualization for 3D GIS. COMP GRAPH, 469-478
Back M., Kimber D., Rieffel E., Dunnigan A., Liew B., Gattepally S., Foote J., ..., Vaughan J (2010) The virtual chocolate factory: Building a real world mixed-reality system for industrial collaboration and control 2010 IEEE International Conference on Multimedia and Expo, ICME 2010, art. no. 5582532 , pp. 1160-1165
Bak P, Mill A (1989) Three Dimensional Representation in a Geoscientific Resources Management System for the Minerals Industry. In: Three Dimensional Applications in Geographic Information Systems. London: Taylor and Francis, 155-182
Bell DG, Kuehnel F, Maxwell C, Kim R, Kasraie K, Gaskins T, Hogan P, Coughlan J (2007) NASA World Wind: Opensource GIS for Mission Operations. New York
Bowyer A (1981) Computing Dirichlet tessellations. Comput J 24(2):162–166
Breunig M, Zlatanova S (2011) Review: 3d geo-database research: Retrospective and future directions. Comput Geosci 37(7):791803
Butkiewicz T, Ware C (2011) Multi-touch 3d exploratory analysis of ocean flow models. In OCEANS 2011, 110
Chen G, Wang ZZ, Qian CC, Lv CJ, Han Y (2010) Seasonal-to-decadal modes of global sea level variability derived from merged altimeter data. Remote Sens Environ 114(11):25242535
Coors V (2001) 3D GIS in networking environments. In Proceedings of International Workshop on 3D Cadastres, 28-30 November, Delft, Netherlands, (Denmark: International Federation of Surveyors), 159-169
ESRI, ArcView 3D Analyst (Redlands, California: Environmental Systems Research Institute Inc), (1997)
Estkowski R, Mitchell JSB, Xiang X (2002) Optimal decomposition of polygonal models into triangle strips. In Proceedings of the eighteenth annual symposium on Computational geometry (SCG ‘02). ACM, New York, NY, USA, 254-263
Garland M, Heckbert PS (1997) Surface simplification using quadric error metrics. In Proceedings of the 24th annual conference on Computer graphics and interactive techniques (SIG- GRAPH ‘97). ACM Press/Addison-Wesley Publishing Co., New York, NY, USA, 209-216
Lv Z, Su T (2014) 3D seabed modeling and visualization on ubiquitous context. SIGGRAPH Asia 2014 Posters
Lv Z, Yin T, Han Y, Chen Y, Chen G (2011) WebVR–Web Virtual Reality Engine Based on P2P network. Journal of Networks 6(7):990–998
Lv Z, Rhman SU, Chen G. (2013) WebVRGIS: A P2P Network Engine for VR Data and GIS Analysis. ICONIP 2013, Daegu, Korea, (LNCS: Neural Information Processing)
Lv Z, Su T, Li X, Feng S (2015) 3D visual analysis of seabed on smartphone. IEEE Pacific Visualization Symposium (PacificVis)
Oliver MA, Webster R (1990) Kriging: a method of interpolation for geographical information sys- tem. Int J Geogr Inf Syst 4(3):313–332
Pfund M (2001) Topological data structure for a 3D GIS. In Proceedings of T he 3rd ISPRS Workshop on Dynamic and Multi-dimensional GIS, 34, Part 2W2, 23rd25 May, Bangkok, Thailand, 233-237
Shi R, Gan Y, Wang Y (2018) Evaluating scalability bottlenecks by workload ex- trapolation. In 2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (pp. 333-347). IEEE
Su Y, Slottow J, Mozes A (2000) Distributing proprietary geographic data on the World Wide Web: UCLA GIS database and mapserver. Comput Geosci 26:741749
Sun Y. (2006) Visualizing oceanic and atmospheric flows with streamline splatting [6060-02], 2006
Su T, Lv Z, Gao S, Li X, Lv H (2014) 3D seabed: 3D modeling and visualization platform for the seabed. 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
Watson DF (1981) Computing the n-dimensional Delaunay tessellation with application to Voronoi poly- topes. Comput J 24(2):167–172
Wu DL, Hu Y, Fan XM (2009) Visual simulation for granular rocks crush in virtual environment based on fractal geometry. Simul Model Pract Theory 17:12541266
Yawen H, Fenzhen S, Yunyan D, Rulin X (2010) Web-based visualization of marine environment data. In Geoinformatics, 2010 18th International Conference on, pages 16
Yoshida T (1998) Three-dimensional object modelling in a three-dimensional urban map. Proceedings of UM398. Tokyo, Japan, 55-62
Zlatanova S (2000) 3D GIS for urban development. PhD dissertation, ITC Netherlands
Zlatanova S, Gruber M (1998) 3D GIS on the Web. In Proceedings of ISPRS, Commission. IV, Stuttgart, Germany, 691-699
Acknowledgments
The authors are thankful to the National Key Research and Development Program of China (Grant No. 2016YFC1402000), Shandong Provincial Natural Science Founda- tion (ZR2017QF015), National Natural Science Foundation of China (No. 61902203).
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Lv, Z., Su, T. An ubiquitous 3D visual analysis platform of seabed. Multimed Tools Appl 78, 34613–34625 (2019). https://doi.org/10.1007/s11042-019-08180-1
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DOI: https://doi.org/10.1007/s11042-019-08180-1