Acceso abierto

Information About Dynamics of the Sea Surface as a Means to Improve Safety of the Unmanned Vessel at Sea


Cite

1. Diks, C., et al. Reversibility as a criterion for discriminating time series. Phys. Lett. A. 1995, p. 201:221, DOI: 10.1016/0375-9601(95)00239-Y.10.1016/0375-9601(95)00239-YSearch in Google Scholar

2. Kantz, H. and Schreiber, T. Nonlinear time series analysis. Oxford : Cambridge University Press, 1997.Search in Google Scholar

3. Percival, D. B. and Walden, A. T. Spectral analysis for physical applications. Cambridge : Cambridge University Press, 1993.10.1017/CBO9780511622762Search in Google Scholar

4. Thailer, J., et al. Nonlinear modeling and forecasting. Using surrogate data to detect nonlinearity in time series. Reading : Santa Fe Institute Studies in the Science of Complexity,. Vol. Proc. Vol. XII, 1992Search in Google Scholar

5. Schreiber, T. Constrained randomization of time series data. Phys. Rev Lett., Vol. 80, 1998, DOI: 10.1103/ PhysRevLett.80.210510.1103/PhysRevLett.80.2105Search in Google Scholar

6. Theiler, J. and Prichard, D. Generating surrogate data for time series with several simultaneously measured variables.Search in Google Scholar

7. Burdziakowski, P. et al. Maritime laser scanning as the source for spatial data. Polish Maritime Research, Vol. 22, Iss. 4, pp. 9-14, 2015, DOI: 10.1515/pomr-2015-006410.1515/pomr-2015-0064Search in Google Scholar

8. Hejmanowska, B. et al. Modern remote sensing and the challenges facing education systems in terms of its teaching. 7th International Conference on Education and New Learning Technologies, Barcelona, Spain JUL 06-08, 2015, pp. 6549-6558, 2015Search in Google Scholar

9. Janowski, A. et al. Airborne and mobile laser scanning in measurements of sea cliffs on the southern Baltic. 15th International Multidisciplinary Scientific Geoconference (SGEM) Location: Albena, Bulgaria, JUN 18-24, 2015, SGEM 2015, pp. 17-24, 2015, DOI: 10.5593/SGEM2015/ B12/S2.003Search in Google Scholar

10. Janowski, A. et al. Proprietary software in technical higher education. EDULEARN14: 6th International Conference On Education and New Learning Technologies, ISBN 978-84-617-0557-3, ISSN 2340-1117, pp. 1941-1949, 2014Search in Google Scholar

11. Jedrasik J. and Szymelfenig M.: Ecohydrodynamic model of the Baltic Sea. Part 2. Validation of the model, Oceanologia, Vol. 47, Iss. 4, pp. 543-566, 2005Search in Google Scholar

12. Kazimierski, W. and Stateczny, A. Radar and Automatic Identification System Track Fusion in an Electronic Chart Display and Information System. Journal of Navigation, Vol. 68, Iss. 6, pp. 1141-1154, 2015, DOI: 10.1017/ S0373463315000405P10.1017/S0373463315000405Search in Google Scholar

13. Kazimierski, W. et al. Verification of multiple model neural tracking filter with ship’s radar. 13th International Radar Symposium (IRS) Location: Warsaw, Poland, MAY 23-25, 2012, Book Series: International Radar Symposium Proceedings, pp. 549-553, 2012, DOI: 10.1109/ IRS.2012.623338410.1109/IRS.2012.6233383Search in Google Scholar

14. Kedzierski, M. et al. Detection of gross errors in the elements of exterior orientation of low-cost UAV images. Baltic Geodetic Congress (Geomatics), Gdansk, Poland, JUN 2-4, 2016, pp. 95-100, 2016, DOI: 10.1109/BGC. Geomatics.2016.26Search in Google Scholar

15. Kozaczka, E. et al. Detection of Objects Buried in the Sea Bottom with the Use of Parametric Echosounder. Archives of Acoustics, Vol. 38, Iss. 1, pp. 99-104, 201310.2478/aoa-2013-0012Search in Google Scholar

16. Kulawiak M., Chybicki A., Moszynski M.: Web-based GIS as a tool for supporting marine research. Marine Geodesy, Vol. 33, Iss. 2-3, pp. 135-153, Art. No. PII 923578807, 2010, DOI: 10.1080/01490419.2010.49228010.1080/01490419.2010.492280Search in Google Scholar

17. Liao Yu-lei, Su Yu-min, Cao Jian. Trajectory planning and tracking control for under actuated unmanned surface vessels. Journal of Central South University, Vol. 21, Iss. 2, pp. 540-549, 2014, DOI: 10.1007/s11771-014-1972-x10.1007/s11771-014-1972-xSearch in Google Scholar

18. Michoud, C. et al. Landslide detection and monitoring capability of boatbased mobile laser scanning along Dieppe coastal cliffs, Normandy. Landslides, Vol. 12, Iss. 2, pp. 403-418, 2014, DOI: 10.1007/s10346-014-0542-510.1007/s10346-014-0542-5Search in Google Scholar

19. Przyborski, M. Possible determinism and the real world data. Physica A-Statistical Mechanics and Its Applications, Vol. 309 Iss. 3-4, pp. 297-303, PII S0378-4371(02)00565-4, 200210.1016/S0378-4371(02)00565-4Search in Google Scholar

20. Roberts, G. N. Trends in marine control systems. Annual Reviews in Control, Vol. 32, Iss. 2, pp. : 263-269, 2008, DOI: 10.1016/j.arcontrol.2008.08.00210.1016/j.arcontrol.2008.08.002Search in Google Scholar

21. Stateczny, A. and Bodus-Olkowska, I. Hierarchical Hydrographic Data Fusion for Precise Port Electronic Navigational Chart Production. 14th Transport Systems Telematics Conference (TST) Location: Poland Date: OCT 22-25, 2014, Book Series: Communications in Computer and Information Science, Vol. 471, pp. 359-368, 2014, DOI: 10.1007/978-3-662-45317-9_3810.1007/978-3-662-45317-9_38Search in Google Scholar

22. Stateczny, A. and Bodus-Olkowska, I. Sensor data fusion techniques for environment modelling. 16th International Radar Symposium (IRS) Location: Dresden, Germany, JUN 24-26, 2015, Book Series: International Radar Symposium Proceedings, pp. 1123-1128, 2015, DOI: 10.1109/IRS.2015.722626310.1109/IRS.2015.7226263Search in Google Scholar

eISSN:
2083-7429
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Engineering, Introductions and Overviews, other, Geosciences, Atmospheric Science and Climatology, Life Sciences