Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The paper contains a proposal of developing new data structures, which would describe a digital terrain model (DTM). The essential characteristic of of the proposed design is the fact, that they consist of multiple layers, where each layer describes the same, but with different accuracy (density point), and the whole structure describes a selected seabed area. Using such a novel data structure will allow for creating seabed models incorporating data of varying accuracy, and the particular layers might be used for specific purposes (e.g. low density data for quick visualisation, medium density data for general calculations, high density data for analysis small objects on the seabed). The author describes the assumptions underlying the development of such a structure, its functionality, possible applications and properties, as well as the outline of planned research regarding the structure.
Rocznik
Tom
Strony
75--80
Opis fizyczny
Bibliogr. 23 poz., rys.
Twórcy
autor
- West Pomeranian University of Technology Szczecin, Faculty of Computer Science & Information Technology 71-210 Szczecin, ul. Żołnierska 52
Bibliografia
- 1. STATECZNY A., PAŁCZYŃSKI M.: Synthesis of Simulated Sonar Images by Means of Acoustic Rectilinear Rays. Polish Journal of Environmental Studies 15, 4C, 2006.
- 2. AGUGIARO G., KOLBE T.H.: A deterministic method to integrate triangular meshes of different resolution. ISPRS Journal of Photogrammetry and Remote Sensing 71, Jul 2012, 96–109.
- 3. DE WULF A., HENNAU M., CONSTALES D.: Processing and Filtering of Multibeam Data: grid modelling versus TIN based Modelling. Proc. 15th Intl. Congress Intl. Fed. of Hydrographic Societies, 6–9 Nov 2006, 75–79.
- 4. DEMKOWICZ J., MOSZYŃSKI M., STEPNOWSKI A.: Application of Splines and Wavelets along with TIN Decimation to 3D Imaging of Seafloor from Multibeam Sonar Data. Acta Acustica united with Acustica 88, 5, September/October 2002, 619–622.
- 5. BROUNS G., DE WULF A., CONSTALES D.: Delaunay Triangulation Algorithms Useful for Multibeam Echosounding", J. Surv. Engrg. Volume 129, Issue 2, pp. 79-84, 2003.
- 6. MAKAR A.: Modeling of Sea Bottom using NURBS functions. Geophysical Research Abstracts 6, 01524, 2004.
- 7. MALEIKA W., PAŁCZYŃSKI M., FREJLICHOWSKI D.: Interpolation Methods and the Accuracy of Bathymetric Seabed Models Based on Multibeam Echosounder Data. In: J.S. Pan, S.M. Chen, N.T. Nguyen (Eds.): ACIIDS 2012, Part III, Lecture Notes in Artificial Intelligence, vol. 7198, 466–475.
- 8. RONHOVDE A., YANG L., TAXT T., HOLM S.: Highresolution beamforming for multibeam echo sounders using raw EM3000 data. OCEANS apos; 99 MTS/IEEE. Riding the Crest into the 21st Century, Vol. 2, 1999, 923–930.
- 9. JOHNSON D.H., DUDGEON D.E.: Array Signal, Processing, Concepts and Techniques. Prentice Hall, 1993.
- 10. GABOARDI C., MITISHITA E.A., FIRKOWSKI H.: Digital Terrain Modeling generalization with base in Wavelet Transform. Boletim De Ciencias Geodesicas 17, 1, Jan–Mar 2011, 115–129.
- 11. HELLEQUIN L., BOUCHER J.M., LURTON X.: Processing of high-frequency multibeam echo sounder data for seafloor characterization. Oceanic Engineering, IEEE Journal of Volume 28, 1, Jan 2003, 78–89.
- 12. ŁUBCZONEK J.: Hybrid Neural Model of the Sea Bottom Surface. In: Rutkowski L. Et al. (eds.): ICAISC, Lecture Notes in Artificial Intelligence 3070, 2004, 1154–1160.
- 13. STATECZNY A.: Metody nawigacji porównawczej. Gdańskie Towarzystwo Naukowe, Gdańsk 2004.
- 14. BRASINGTON J., RICHARDS K.: Interactions between model predictions, parameters and DTM scales for topmodel. In: Computers & Geosciences 24, 4, May 1998, 299–314.
- 15. JALVING B.: Depth accuracy in seabed mapping with underwater vehicles. Oceans ‘99 MTS/IEEE: Riding the Crest into the 21st Century 1–3, 1999, 973–978.
- 16. MALEIKA W., PAŁCZYŃSKI M., FREJLICHOWSKI D.: Effect of Density of Measurement Points Collected from a Multibeam Echosounder on the Accuracy of a Digital Terrain Model. In: J.S. Pan, S.M. Chen, N.T. Nguyen (Eds.): ACIIDS, Part III, Lecture Notes in Artificial Intelligence 7198, 2012, 456–465.
- 17. MALEIKA W.: The influence of track configuration and multibeam echosounder parameters on the accuracy of seabed DTMs obtained in shallow water. Earth Science Informatics 6, 2013, 47–69.
- 18. ZIEHER T., FORMANEK T., BREMER M., MEISSL G., RUTZINGER M.: Digital Terrain Model Resolution and its Influence on Estimating the Extent of Rockfall Areas. Transactions in GIS 16, 5, Oct 2012, 691–699.
- 19. YANALAK M.: Effect of gridding method on digital terrain model profile data based on scattered data. In: Journal of Computing in Civil Engineering 17, 1, Jan 2003, 58–67.
- 20. PRATSON L.F., EDWARDS M.H.: Introduction to advances in seafloor mapping using sidescan sonar and multibeam bathymetry data. Marine Geophysical Researches 18, 6, 1996.
- 21. MALEIKA W., CZAPIEWSKI P.: Visualisation of multibeam echosounder measurement data. P. Maji et al. (Eds.): Pattern Recognition and Machine Intelligence 2013, Lecture Notes in Computer Science 8251, Springer-Verlag, Berlin Heidelberg 2013, 373–380.
- 22. PANTZARTZIS D., DE MOUSTIER C., ALEXANDROU D.: Application of high-resolution beamforming to multibeam swath bathymetry. In Proc. OCEANS’93, Vol. II, 1993, 77–82.
- 23. OGUSHWITZ P.R., DYSART P.S.: Computer simulation of multibeam echo sounding over rough seafloor. Marine Geodesy 15, 2 & 3, 1992, 97–113.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f40fa5c8-2649-4a89-b29f-2e277ad9ada0