[1. Wawrzyniak N., Zaniewicz G., Detecting small moving underwater objects using scanning sonar in waterside surveillance and complex security solutions. Proceedings of the 17th International Radar Symposium (IRS),Krakow, Poland,(2016)10.1109/IRS.2016.7497285]Search in Google Scholar
[2. Ribas D., Ridao P., Neira J.et al. Line extraction from mechanically scanned imaging sonar, 3rd Iberian Conference on Pattern Recognition and Image Analysis. Book Series: Lecture Notes in Computer Science, vol.4477, pp. 322-329, (2007).]Search in Google Scholar
[3. Kazimierski, W., Zaniewicz, G., Analysis of the Possibility of Using Radar Tracking Method Based on GRNN for Processing Sonar Spatial Data, Proceedings of the Joint Rough Set Symposium, Spain, Kryszkiewicz et al. (Eds), Lecture Notes in Artificial Intelligence, 8537, pp. 319-326. Granada and Madrid, (2014).10.1007/978-3-319-08729-0_32]Search in Google Scholar
[4. Zhang, J., Han, Y., Zheng, C. et al., Underwater target localization using long baseline positioning system. Applied Acoustics, vol. 111, pp. 129-134, (2016).10.1016/j.apacoust.2016.04.009]Search in Google Scholar
[5. Reis, J., Morgado, M., Batista, P. et al., Design and Experimental Validation of a USBL Underwater Acoustic Positioning System. Sensors, vol. 16, issue 9, article number 1491, (2016).10.3390/s16091491503876427649181]Search in Google Scholar
[6. Naus, K., Nowak, A., The Positioning Accuracy of BAUV Using Fusion of Data from USBL System and Movement Parameters Measurements. Sensors, vol. 16, issue 8, article number 1279, (2016).10.3390/s16081279501744427537884]Search in Google Scholar
[7. Bell, J. M., Linnett L. M., Simulation and Analysis of Synthetic Sidescan Sonar Images. IEEE Proceedings - Radar, Sonar and Navigation, 144(4), (1997).10.1049/ip-rsn:19971311]Search in Google Scholar
[8. Palczynski, M., Method for generating synthetic sonar images for the purpose of comparative navigation, (Ph. D. thesis), Szczecin University of Technology, (2008).]Search in Google Scholar
[9. Stateczny, A., The neural method of sea bottom shape modelling for the spatial maritime information system. Book Editor(s): Brebbia, CA., Olivella, J. Maritime Engineering and Ports II. Book Series: Water Studies Series vol. 9, pp. 251-259, Barcelona (2000).]Search in Google Scholar
[10. Lubczonek, J., Stateczny, A., Concept of neural model of the sea bottom surface. Book Editor(s): Rutkowski, L., Kacprzyk, J. Neural Networks and Soft Computing, Book Series: Advances in Soft Computing, pp. 861-866, Zakopane (2003).]Search in Google Scholar
[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).]Search in Google Scholar
[12. Maleika, W., Moving Average Optimization in Digital Terrain Model Generation Based on Test Multibeam Echosounder Data, Geo-Marine Letters, 35, 61-68, (2015).10.1007/s00367-014-0389-8]Search in Google Scholar
[13. Maleika, W., The Influence of the Grid Resolution on the Accuracy of the Digital Terrain Model Used in Seabed Modelling. Marine Geophysical Research, 36, 35-44, (2015).10.1007/s11001-014-9236-6]Search in Google Scholar
[14. Maleika, W, Palczynski, M., Frejlichowski, D., Effect of Density of Measurement Points Collected from a Multibeam Echosounder on the Accuracy of a Digital Terrain Model, 4th International Scientific Asian Conference on Intelligent Information and Database Systems (ACIIDS), Edited by: Pan, JS., Chen, SM., Nguyen, NT., Book Series: Lecture Notes in Artificial Intelligence, vol. 7198, pp. 456-465, Kaohsiung, Taiwan, (2012).]Search in Google Scholar
[15. Maleika, W., The influence of track configuration and multibeam echosounder parameters on the accuracy of seabed DTMs obtained in shallow water, Earth Science Informatics, vol. 6, issue 2, pp. 47-69, (2013).10.1007/s12145-013-0111-9]Search in Google Scholar
[16. Wawrzyniak, N., Hyla, T., Managing Depth Information Uncertainty in Inland Mobile Navigation Systems. Joint Rough Set Symposium, Granada and Madrid, Spain, Kryszkiewicz et al. (Eds), Lecture Notes in Artificial Intelligence, 8537, pp. 343-350, 2014.10.1007/978-3-319-08729-0_35]Search in Google Scholar
[17. Ratuszniak, N., Palczynski, M., Method of visualization for scanning sonar image, Measurement Automation and Monitoring vol.56 no 12/2010.]Search in Google Scholar
[18. Stateczny, A., Methods of comparative plotting of the ship’s position. Book Editor(s): Brebbia, CA., Sciutto, G. Maritime Engineering & Ports III. Book Series: Water Studies Series vol. 12, pp. 61-68, Rhodes (2002)]Search in Google Scholar
[19. Stateczny, A., Artificial neural networks for comparative navigation. Book Editor(s): Rutkowski, L., Siekmann, J., Tadeusiewicz, R., et al. Artificial Intelligence and Soft Computing - ICAISC 2004. Book Series: Lecture Notes in Artificial Intelligence, vol. 3070, pp. 1187-1192, Zakopane (2004).]Search in Google Scholar
[20. Kazimierski, W., Stateczny, A., Radar and Automatic Identification System track fusion in an Electronic Chart Display and Information System. Journal of Navigation, vol. 68, pp 1141-1154, 2015.10.1017/S0373463315000405]Search in Google Scholar
[21. Wang, L., Yu, L., Zhu, Y., Construction Method of the Topographical Features Model for Underwater Terrain Navigation. Polish Maritime Research, vol. 22, special issue 1, pp. 121-125, (2015).10.1515/pomr-2015-0043]Search in Google Scholar
[22. Zhou, L., Cheng, X., Zhu, Y.,Terrain aided navigation for autonomous underwater vehicles with coarse maps. Measurement Science and Technology, vol. 27, issue 9, article number 095002, (2016).10.1088/0957-0233/27/9/095002]Search in Google Scholar
[23. Miller, P., A., Farrell, J., A., Zhao, Y. et al. Autonomous Underwater Vehicle Navigation, IEEE Journal of Oceanic Engineering, vol. 35, issue 3, special issue, pp. 663-678, (2010).10.1109/JOE.2010.2052691]Search in Google Scholar
[24. Nygren, I., Jansson, M., Terrain navigation for underwater vehicles using the correlator method. IEEE Journal of Oceanic Engineering vol. 29, issue 3, pp. 906-915, (2004).10.1109/JOE.2004.833222]Search in Google Scholar
[25. Zhou, L., Cheng, X., Zhu, Y. et al. Terrain Aided Navigation for Long-Range AUVs Using a New Bathymetric Contour Matching Method. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Busan, South Korea, pp. 249-254, (2015).10.1109/AIM.2015.7222540]Search in Google Scholar
[26. Ramesh, R., Jyothi, V., Vedachalam, N. et al. Development and Performance Validation of a Navigation System for an Underwater Vehicle. Journal of Navigation, vol. 69, issue 5, pp. 1097-1113, (2016).10.1017/S0373463315001058]Search in Google Scholar
[27. Hyla, T., Kazimierski, W., Wawrzyniak, N,. Analysis of Radar Integration Possibilities in Inland Mobile Navigation. Proceedings of 16th International Radar Symposium (IRS), International Radar Symposium Proceedings, H. Rohling (Ed.), pp. 864-869, Dresden, Germany (2015).10.1109/IRS.2015.7226379]Search in Google Scholar
[28. Hyla, T., Wawrzyniak, N., Kazimierski, W., Model of Collaborative Data Exchange for Inland Mobile Navigation, Proceedings of Soft Computing in Computer and Information Science Conference, Advances in Intelligent Systems and Computing, vol. 342, pp. 435-444, Miedzyzdroje, (2015)10.1007/978-3-319-15147-2_36]Search in Google Scholar
[29. Gotlib, D., A Cartographic Presentation Model for Navigation and Location-Based Applications. Joint Symposium of ISPRS Commission IV / AutoCarto Annual Conference. Book Series: International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, vol. 38, part 4, Orlando, (2010).]Search in Google Scholar
[30. Wlodarczyk-Sielicka, M., Stateczny, A., Selection of SOM Parameters for the Needs of Clusterisation of Data Obtained by Interferometric Methods. Proceedings of 16th International Radar Symposium (IRS), International Radar Symposium Proceedings, H. Rohling (Ed.), pp. 1129-1134, Dresden, Germany (2015).10.1109/IRS.2015.7226268]Search in Google Scholar
[31. Wlodarczyk-Sielicka M., Lubczonek J., Stateczny A., Comparison of Selected Clustering Algorithms of Raw Data Obtained by Interferometric Methods Using Artificial Neural Networks. Proceedings of 16th International Radar Symposium (IRS), International Radar Symposium, Krakow, Poland (2016).10.1109/IRS.2015.7226268]Search in Google Scholar
[32. Wlodarczyk-Sielicka M., Stateczny A., Comparison of selected reduction methods of bathymetric data obtained by multibeam echosounder. Proceedings of Baltic Geodesy Congress, Gdansk, Poland (2016).10.1109/BGC.Geomatics.2016.22]Search in Google Scholar
[33. Dziubich, T., Szymanski, J., Brzeski, A. et al.Depth Images Filtering in Distributed Streaming. Polish Maritime Research, vol. 23, issue: 2, pp. 91-98, (2016).]Search in Google Scholar
[34. Wlodarczyk-Sielicka, M., Stateczny, A., Clustering Bathymetric Data for Electronic Navigational Charts. The Journal of Navigation vol. 69, issue 5, pp 1143-1153 (2016).10.1017/S0373463316000035]Search in Google Scholar
[35. Hejmanowska B., Kamiński W., Przyborski M., Pyrchla J., Modern remote sensing and the challenges facing education systems in terms of its teaching, 7th International Confrence on Education and New Learning Technologies EDULEARN 15 Barcelona, Spain, Book Series: EDULEARN Proceedings, pp. 6549-6558,(2015).]Search in Google Scholar
[36. Kazimierski, W., Wlodarczyk-Sielicka, M., Technology of Spatial Data Geometrical Simplification in Maritime Mobile Information System for Coastal Waters. Polish Maritime Research,Vol. 23, Issue:3, pp. 3-12, (2016).]Search in Google Scholar
[37. Moszynski, M., Chybicki, A., Kulawiak, M. et al. A novel method for archiving multibeam sonar data with emphasis on efficient record size reduction and storage. Polish Maritime Research, vol. 20, issue 1, pp. 77-86, (2013).10.2478/pomr-2013-0009]Search in Google Scholar
[38. Stateczny, A., Bodus-Olkowska I., Hierarchical Hydrographic Data Fusion or Precise Port Electronic Navigational Chart Production. in Mikulsk J.(ed.) Telematics in the Transport Environment, Book Series: Communications in Computer and Information Science 471, pp. 359-368, Ustron, Poland (2014).]Search in Google Scholar
[39. Stateczny, A., Bodus-Olkowska, I., Sensor Data Fusion Techniques for Environment Modelling. Proceedings of 16th International Radar Symposium (IRS), International Radar Symposium Proceedings, H. Rohling (Ed.), pp. 1123-1128, Dresden, Germany (2015).10.1109/IRS.2015.7226263]Search in Google Scholar
[40. Pokonieczny, K., Bielecka, E., Kaminski, P., Analysis of Spatial Distribution of Geodetic Control Points and Land Cover. 14th International Multidisciplinary Scientific Geoconference (SGEM) Geoconference on Informatics, Geoinformatics and Remote Sensing, vol. II, pp. 49-56, Albena, Bulgaria, (2014).10.5593/SGEM2014/B22/S9.007]Search in Google Scholar
[41. Burdziakowski, P., Janowski A., Kholodkow A. et al., Maritime Laser Scanning as the Source For Spatial Data, Polish Maritime Research, vol. 22, issue 4, pp. 9-14, (2015).10.1515/pomr-2015-0064]Search in Google Scholar
[42. Stateczny, A., Wawrzyniak, N., Method for determining stationary position of scanning sonar, involves determining head position based on sonar search for actual sonar image with set of synthetic images generated by performing ray tracing process based on model of bottom. Patent Number: PL406523-A1. Patent Assignee: Marine Technology Sp. z o.o. (2015).]Search in Google Scholar