Abstract
Digital terrain models (DTMs), finding a wide range of applications in the exploration of water areas, are mainly created on the basis of bathymetric data from a multibeam echosounder. The estimation of DTM accuracy dependent on the choice of the survey parameters is difficult due to the lack of reference surface. These authors have developed the methodology of simulation called virtual survey, which enables examining how various parameters of the echosounder, survey and DTM construction algorithms affect the errors of the created models. They are aimed at precise estimation of the model accuracy and the optimization of depth measurement work. The article includes the results of the examination of the effect of parameters determining the density of measurement points on the accuracy of the obtained GRID model. It has been proved that a significant reduction of recorded data density leads to only a slight increase in the modeling error, which makes the bathymetric survey much more cost-effective.
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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) iIn 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)
Lubczonek, J., Borkowski, M.: Comparative analysis of digital seabed models prepared from single and multibeam sounding data. Polish Journal of Environmental Studies 19(5), 1039–1043 (2010)
Gao, J.: Resolution and accuracy of terrain representation by grid. International Journal of Geographical Information Science 11(2) (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)
Maleika, W., Palczynski, M.: Development of a virtual multibeam echosounder. Biuletyn WAT XL (3(663)), 215–225 (2011) (in Polish)
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., 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). Effect of Density of Measurement Points Collected from a Multibeam Echosounder on the Accuracy of a Digital Terrain Model. 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_48
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DOI: https://doi.org/10.1007/978-3-642-28493-9_48
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