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Multibeam data processing for 3D object shape reconstruction

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The technology of hydroacoustic scanning offers an efficient and widely-used source of geospatial information regarding underwater environments, providing measurement data which usually have the structure of irregular groups of points known as point clouds. Since this data model has known disadvantages, a different form of representation based on representing surfaces with simple geometric structures, such as edges and facets, is preferred for data featuring seabed surface relief and various underwater objects. In this paper, the authors propose a multiple-step approach to three-dimensional surface reconstruction from multibeam sonar measurements, relying on the proper application of various algorithms for noise reduction, data rasterization and classification. The results obtained by combining several different surface reconstruction algorithms with the proposed data processing technique were tested, and the strengths and weaknesses of each method were highlighted.
Czasopismo
Rocznik
Tom
Strony
105--112
Opis fizyczny
Bibliogr. 23 poz., rys.
Twórcy
autor
  • Gdańsk University of Technology Faculty of Electronics, Telecommunications and Informatics Department of Geoinformatics Gdańsk, Narutowicza 11/12, Poland
  • Gdańsk University of Technology Faculty of Electronics, Telecommunications and Informatics Department of Geoinformatics Gdańsk, Narutowicza 11/12, Poland
Bibliografia
  • [1] J. Demkowicz, K. Bikonis, Instalacja i wstępna analiza danych batymetrycznych pochodzących z echosondy wielowiązkowej, Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne, Vol. 7, Gdańsk, 2005.
  • [2] Z. Łubniewski, K. Bruniecki, Seafloor Characterisation and Imaging Using Multibeam Sonar Data, Acoustical Imaging. vol. 31, Springer, 2012.
  • [3] K. Bikonis, M. Moszyński, Z. Łubniewski, A. Stepnowski, Three-dimensional imaging of submerged objects by side-scan sonar data processing, 1st International Conference on Underwater Acoustic Measurement: Technologies and Results, Heraklion, 2005.
  • [4] U. Castellani, A. Fusiello, V. Murino, L. Papaleo, E. Puppo, M. Pittore, A complete system for on-line 3D modelling from acoustic images, Signal Processing: Image Communication 20, 2005, pp. 832–852.
  • [5] A. Chybicki, J. Dąbrowski, M. Kulawiak, M. Łuba, Z. Łubniewski, M. Moszyński, A. Partyka, A. Stepnowski, System GIS do analizy i wizualizacji zanieczyszczeń oraz innych składników środowiska morskiego, Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne. -Vol. T. 15., 2008, pp. 111-117.
  • [6] K. Bikonis, J. Demkowicz, M. Moszyński, A. Stepnowski, Integrated multiscale 3d imaging geographic information system using acoustic data, Proceedings of 8th European Conference on Underwater Acoustics, Carvoeiro, Portugal 12-15 June, 2006. Vol. 2/ ed. eds: S.M. Jesus, O.C. Rodriguez Faro, Portugal: Univ. Algarve, 2006, pp. 585-590.
  • [7] Seafloor Information System SIS Operator Manual, Release 3.6, Kongsberg Maritime AS, 2009.
  • [8] QINSy Knowledge Base, https://confluence.qps.nl/display/KBE/QINSy+Knowledge+Base (accessed on 10.02.2017).
  • [9] K. Bikonis, M. Moszyński, A. Stepnowski, Submerged object imaging using virtual reality modelling language, In International Congress on The Application of Recent Advances in Underwater Detection and Survey Techniques to Underwater Archeology, Bodrum, Turkey, T. Akal, R. D. Ballard, G. F. Bass, pp. 215-220, 2004.
  • [10] D. Lu, H. Li, Y. Wei, T. Shen, An Improved Merging Algorithm for Delaunay Meshing on 3D Visualization Multibeam Bathymetric Data, Information and Automation (ICIA), 2010 IEEE International Conference on. IEEE, 2010, pp. 1171-1176.
  • [11] N. Hurtós, X. Cufí, J. Salvi, Calibration of optical camera coupled to acoustic multibeam for underwater 3D scene reconstruction, OCEANS 2010 IEEE-Sydney, 2010, pp. 1-7.
  • [12] F. Mosca, G. Matte, O. Lerda, F. Naud, D. Charlot, M. Rioblanc, C. Corbières, Scientific potential of a new 3D multibeam echosounder in fisheries and ecosystem research, Fisheries Research 178, 2016, pp. 130-141.
  • [13] Y. Lu, M. Oshima, On the 3-D Reconstruction of Seabed Using Multiple Sidescan Sonar Images, IAPR Workshop on Machine Vision Applications, 2002, Nara, Japan.
  • [14] E. Coiras, Y. Petillot, Multiresolution 3-D Reconstruction From Side-Scan Sonar Images IEEE Transactions on Image Processing, vol. 16 no. 2, 2007.
  • [15] K. Bikonis, M. Moszyński, Z. Łubniewski, Application of Shape From Shading technique for side scan sonar images, Polish Maritime Research, 3(79), vol. 20, 2013, pp. 39-44.
  • [16] M. Kazhdan, M. Bolitho, H. Hoppe, Poisson Surface Reconstruction, Eurographics Symposium on Geometry Processing, 2006, pp. 61-70.
  • [17] F. Bernardini, J. Mittleman, H. Ftushmeier, C. Silva, G. Taubin, The Ball-Pivoting Algorithm for Surface Reconstruction, IEEE Transactions on Visualization and Computer Graphics, vol. 5, No. 4, 1999, pp. 349-359.
  • [18] V. J. D. Tsai, Delaunay triangulations in TIN creation: an overview and a linear-time algorithm, International Journal of Geographical Information Systems, vol. 7 iss. 6, 1993, pp. 501-524, DOI 10.1080/02693799308901979.
  • [19] N. Amenta, S. Choi, R. K. Kolluri, The Power Crust, Proceedings of the sixth ACM symposium on Solid modeling and applications, 2001, pp. 249-266.
  • [20] R. Campos, R. Garcia, T. Nicosevici, Surface reconstruction methods for the recovery of 3D models from underwater interest areas, OCEANS, 2011 IEEE - Spain, 2011.
  • [21] M. Kulawiak, Z. Łubniewski, Reconstruction Methods for 3D Underwater Objects Using Point Cloud Data, Hydroacoustics vol. 18, 2015, pp. 95-102.
  • [22] M. Kulawiak, Z. Łubniewski, 3D Imaging of Underwater Objects Using Multibeam Data, Hydroacoustics vol. 17, 2014, pp. 123-128.
  • [23] M. Kulawiak, Z. Łubniewski, Processing of LiDAR and Multibeam Sonar Point Cloud Data for 3D Surface and Object Shape Reconstruction, Baltic Geodetic Congress (BGC Geomatics), Gdańsk, 2016.
Uwagi
Opracowanie w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cba66b34-3941-4c5f-b44a-620cc9139f17
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