Colbo K., Ross T., Brown C., Weber T., A review of oceanographic applications of water column data from multibeamechosounders, ‘Estuarine, Coastal and Shelf Science’, 2014, Vol. 145, pp. 41-56.
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 Gao J., Bathymetric mapping by means of remote sensing: methods, accuracy and limitations, ‘Progress in Physical Geography’, 2009, Vol. 33, Issue 1, pp. 103-116.
 Grządziel A., Felski
1. Vilming S., The Development of the MultibeamEchosounder: A Historical Account, The Journal of the Acoustical Society of America 103(5), January 1998 s. 1637;
2. M. Jacops, Analyses of high resolution bathymetric data in the Eltanin impact area, Master thesis, Bremerhaven, January 2002, s. 17, [on-line] http://epic.awi.de/22883/1/Jac2002j.pdf (dostęp 25.10.2015);
3. Grządziel A., Pomiary batymetryczne – dawniej i dziś, Przegląd Morski nr 4, Gdynia 2004;
4. Grządziel A., Echosonda jednowiązkowa w pomiarach hydrograficznych
High-resolution Multibeam Echosounder shallow water surveys should not be performed with DGPS (Differential Global Positioning System), especially where feature detection is a priority. Despite the fact that International Hydrographic Organization most demanding Special Order Specification allows for 2 meters horizontal positioning level, it poorly interacts with horizontal centimetric level nadir footprint, causing degradation of bathy-metric data.
-earth extraction from airborne laser scanning point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 5–101.
 Sonic 2024 Operator’s Manual (2014), R2Sonic LCC, Austin.
 Standards for Hydrographic Surveys (S44) (2008). IHO, Monaco.
 Tęgowski J., Nowak J., Hac B., Zamaryka M., Szefler K. (2010). Mapping seabed features from multibeamechosounder data using autocorrelation and multiscale wavelet analyses. Hydroacoustics, Vol. 13.
 Valentine P.C., Fuller S.J., Scully L.A. (2004). Terrain Ruggedness Analysis and Distribution of
Small, lightweight, power-efficient and low-cost microelectromechanical system (MEMS) inertial sensors and microcontrollers available in the market today help reduce the instability of Multibeam Sonars. Current MEMS inertial measurement units (IMUs) come in many shapes, sizes, and costs - depending on the application and performance required. Although MEMS inertial sensors offer affordable and appropriately scaled units, they are not currently capable of meeting all requirements for accurate and precise attitudes, due to their inherent measurement noise. The article presents the comparison of different MEMS technologies and their parameters regarding to the main application, namely Multibeam Echo Sounders (MBES). The quality of MEMS parameters is crucial for further MBES record-processing. The article presents the results of undertaken researches in that area, and these results are relatively positive for low-cost MEMS. The paper undertakes some vital aspect of using MEMS in the attitude and heading reference system (AHRS) context. The article presents a few aspects of MEMS gyro errors and their estimation process in the context of INS processing flow, as well as points out the main difficulties behind the INS when using a few top MEMS technologies.
The paper presents current state of bathymetric survey concerning deep ocean rather than shallow areas, which are better surveyed due to safety of navigation concerns. Rules and requirements of the new challenge, called the Shell Ocean Discovery XPRIZE, became a starting point for a discussion about the possibilities of mapping large areas of the ocean using up-to-date and new technology. The amount of bathymetric data available nowadays and the current state of ocean map compilations are also discussed in the paper as a motivation to inspire the new initiatives in the deep ocean.
Marek Moszynski, Andrzej Chybicki, Marcin Kulawiak and Zbigniew Lubniewski
., Freon, P.: From two dimensions to three: the use of multibeam sonar for a new approach in fisheries acoustics , Canadian Joumal of Fisheries and Aquatic Science, 56 1999: 6-12.
10. Hammerstad, E.: Advanced multibeamechosounder technology , Sea Technology, 36 1995: 67-69.
11. Hashemian, R.: Direct Huffman coding and decoding using the table of code-lengths , Information Technology: Coding and Computing [Computers and Communications] Proceedings: 237-241, 2003.
12. Huffman, D. A.: a Method for the Construction of
Stanisław Rudowski, Radosław Wróblewski, Janusz Dworniczak, Kazimierz Szefler, Benedykt Hac and Łukasz Gajewski
to prepare a geomorphological map of the bottom, i.e. subaqueous geomorphology, are:
specifying and cartometric presentation of the bottom morphology that was obtained through multibeamechosounder, with the use of a 3D grid (not of lines or measurement points) – similar to a LiDaR image on the land surface (currently LiDaR bottom measurements are only possible in shallow waters and are significantly limited by water opacity ( Nowak et al. 2015 );
specifying the bottom surface nature, associated with the morphology and the lithological variation in surface
Computing, pp. 861-866, Zakopane (2003).
11. Lubczonek, J., Hybrid neural model of the sea bottom surface, Edited by: Rutkowski, L., Siekmann, J., Tadeusiewicz, R. et al., 7th International Conference on Artificial Intelligence and Soft Computing, Lecture Notes in Artificial Intelligence, vol. 3070, pp. 1154-1160, Zakopane, Poland (2004).
12. Maleika, W., Moving Average Optimization in Digital Terrain Model Generation Based on Test MultibeamEchosounder Data, Geo-Marine Letters, 35, 61-68, (2015).
13. Maleika, W., The
with adaptive object model. Polish Maritime Research, 21, 14-19.
20. Zwierzewicz Z. (2013), On the ship course-keeping control system design by using robust feedback linearization, Polish Maritime Research. Volume 20, Issue 1, Pages 70-76
21. Wlodarczyk-Sielicka M., Stateczny A.: Comparison of selected reduction methods of bathymetric data obtained by multibeamechosounder. Proceedings of Baltic Geodesy Congress, Gdansk, Poland (2016), pp.73-77, IEEE, DOI: 10.1109/BGC.Geomatics.2016.22
22. Stateczny, A. and Bodus