Abstract
In order to make reliable sea bottom visualizations and analyses, accurate bathymetric models are necessary. The authors analyzed the process of GRID model creation using multibeam echosounder data and pointed interpolation methods as important sources of models’ errors. In order to assess the accuracy of the model, the simulation technique named virtual survey was applied. A wide range of interpolation methods was examined. The results show significant differences between these methods in terms of accuracy and effectiveness. The choice of the best interpolation methods for various cases is suggested.
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Maleika, W., Palczynski, M., Frejlichowski, D., Stateczny, A.: Analysis of survey data collected using Simrad EM3000 multibeam echosounder. Metody Informatyki Stosowanej, PAN o. Gdansk 4(25), 55–64 (2010) (in Polish)
Calder, B.R., Mayer, L.A.: Automatic processing of high-rate, high-density multibeam echosounder data. Geochemistry Geophysics Geosystems 4(6) (2003)
Dinn, D.F., Loncarevic, B.D., Costello, G.: The effect of sound velocity errors on multi-beam sonar depth accuracy. In: Proceedings of MTS/IEEE Conference on Challenges of Our Changing Global Environment, Oceans 1995, vol. 2, pp. 1001–1010 (1995)
Hamilton, E.L.: Geoacoustic modeling of the sea floor. Journal of the Acoustical Society of America 68(5), 1313–1340 (1980)
Gao, J.: Resolution and accuracy of terrain representation by grid DEMs at a micro-scale. International Journal of Geographical Information Science 11(2), 199–212 (2001)
Stateczny, A. (red.): The methods of the comparative navigation. In: Gdanskie Towarzystwo Naukowe, Gdansk (2004) (in Polish)
International Hydrographic Organization: IHO standards for hydrographic surveys, Publication No. 44, 4th edn. (1998)
Hammerstad, E., Asheim, S., Nilsen, K., Bodholt, H.: Advances in multibeam echosounder technology. In: Proceedings of Engineering in Harmony with Ocean, Oceans 1993, vol. 1, pp. I482–I487 (1993)
Maleika, W., Palczynski, M.: Virtual multibeam echosounder in investigations on sea Bottom modeling. Metody Informatyki Stosowanej, PAN o. Gdansk 4, 111–120 (2008)
Maleika, W., Palczynski, M.: Development of a simulator of multibeam echosounder. Biuletyn WAT (3(663)), 215–225 (2011) (in Polish)
Maleika, W., Pałczyński, M., Frejlichowski, D.: Multibeam Echosounder Simulator Applying Noise Generator for the Purpose of Sea Bottom Visualisation. In: Maino, G., Foresti, G.L. (eds.) ICIAP 2011, Part II. LNCS, vol. 6979, pp. 285–293. Springer, Heidelberg (2011)
Hong, T.-P., Wu, C.-H.: An Improved Weighted Clustering Algorithm for Determination of Application Nodes in Heterogeneous Sensor Networks. Journal of Information Hiding and Multimedia Signal Processing 2(2), 173–184 (2011)
Lin, T.C., Huang, H.C., Liao, B.Y., Pan, J.S.: An Optimized Approach on Applying Genetic Algorithm to Adaptive Cluster Validity Index. International Journal of Computer Sciences and Engineering Systems 1(4), 253–257 (2007)
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Maleika, W., Palczynski, M., Frejlichowski, D. (2012). Interpolation Methods and the Accuracy of Bathymetric Seabed Models Based on Multibeam Echosounder Data. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28493-9_49
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DOI: https://doi.org/10.1007/978-3-642-28493-9_49
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