References
- 1. Alippi C. 1995. Real-time analysis of ships in radar images with neural networks, Pattern Recognition, Volume 28 (12), pp. 1899-1913. New York, NY, USA.
- 2. Caspary W., Haen W. 1990. Simultaneous Estimation of Location and Scale Parameters in the Context of Robust M-estimation. Manuscripta Geodaetica no. 15, pp 273-282, Italy.
- 3. Czaplewski, K., 2004. Positioning with interactive navigational structures implementation. Annual of Navigation, no. 7/2004. Gdynia, Poland.
- 4. Czaplewski, K., 2014. Development of the IANS chain using a satellite system. TransNav, pp. 485-493, Gdynia, Poland.
- 5. Czaplewski, K., Wąż, M., 2009. Automation of radar navigation. European Journal of Navigation, no 7 (2), pp. 33-39. the Netherland.
- 6. Granger E., Rubin M., Grossberg S., Lavoie P. 2001. A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters’, Neural Networks 14/2001, pp. 325-344, Bandera, TX, USA.
- 7. Hampel F.R., Ronchetti E.M., Rousseeuw P.J, Stahel W.A. 1986. Robust Statistics. The Approach Based on Influence Functions. John Wiley & Sons, New York, USA.
- 8. Jianjun Z. 1996. Robustness and the Robust Estimate. Journal of Geodesy no. 70, pp 586-590, Heidelberg, Germany.
- 9. Masters T., 1996. Sieci neuronowe w praktyce. Programowanie w języku C++. Wydawnictwo Naukowo Techniczne WNT, Warszawa, Poland.
- 10. Osowski S., 1996. Sieci neuronowe w ujęciu algorytmicznym. Wydawnictwo Naukowo Techniczne WNT, pp. 161-186, Warszawa, Poland.
- 11. Praczyk T., 2006A. Application of Neural Networks and Radar Navigational Aids of Shore Area to Positioning. Computational Methods in Science and Technology 12(2), DOI: 10.12921/cmst.2006.12.02. pp.149-155. Poznań, Poland.
- 12. Praczyk T., 2006B. Better Kohonen Neural Network in Radar Images Compression, Computational Methods In Science And Technology 12(2), DOI:10.12921/cmst.2006.12.02, pp.157-164, Poznań, Poland.
- 13. Tadeusiewicz R., 1993. Sieci neuronowe. Akademicka Oficyna Wydawnicza RM, pp.121-125, Warszawa, Poland.
- 14. Vicen-Bueno R., Carrasco-Alvarez R., Rosa-Zurera M, Nieto-Borge J. 2009. Sea Clutter Reduction and Target Enhancement by Neural Networks in a Marine Radar System, Sensors 9(3), pp. 1913-1936; DOI:10.3390/ s90301913. Basel, Switzerland.
- 15. Wąż M., 2009. Precise matching of radar display with the nautical chart. International Conference ENC-GNSS 2009, pp. 329-334. Naples, Italy.
- 16. Wąż M., Meller R., 2003. Determination of ship’s position by way of matching a radar image with a nautical chart using a multilayer perceptron. International Radar Symposium IRS, pp. 701-706, Dresden, Germany.
- 17. Wiśniewski Z., 2002. Koncepcje opracowania wynikow pomiarow nawigacyjnych. Naval University of Gdynia, pp. 47-50. Gdynia, Poland.
- 18. Wiśniewski Z., 2003. Metody opracowania wynikow pomiarow w nawigacji i hydrografii. Naval University of Gdynia, pp. 224 -235, 249-263. Gdynia, Poland.
- 19. Wiśniewski Z., 2014. Zaawansowane metody opracowania obserwacji geodezyjnych z przykładami. Wydawnictwo UWM, Olsztyn, Poland.
- 20. Yang Y., Song L., Xu T. 2002. Robust Estimator for Correlated Observations Based on Bifactor Equivalent Weights. Journal of Geodesy nr 76, pp 353 - 358, Heidelberg, Germany.
- 21. Zhong D. 1997. Robust Estimation and Optimal Selection of Polynomial Parameters for the Interpolation of GPS Geoid Heights. Journal of Geodesy no. 71, pp 552 - 561, Heidelberg, Germany.
- 22. Żurada J., Barski M., Jędruch W., 1996. Sztuczne sieci neuronowe. Wydawnictwo Naukowe PWN. Warszawa, Poland