Application of bearing and distance trees to the identification of landmarks on the coast

• Autorzy: Tomasz Praczyk
• Języki publikacji: EN

Abstrakty

EN

The problem of continuous position availability is one of the most important issues connected with the human activity at sea. Because the availability of satellite navigational systems can be limited in some cases, e.g. during military operations, one has to consider additional methods of acquiring information about the ship's position. In this paper one of these methods is presented, which is based on exploiting landmarks located on a coastline. A navigational radar is used to obtain information about these points. In order to estimate the ship's position by means of a set of landmarks, it is necessary to know their accurate locations. The paper presents a landmark identification method based on the comparison of bearing and distance trees representing pattern points generated from a chart, as well as points extracted from a radar image.

Słowa kluczowe

EN

bearing and distance tree; landmark identification; ship's positioning

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2007
• Tom: 17
• Numer: 1
• Strony: 87-97

Daty

wydano

2007

otrzymano

2006-06-06

(nieznana)

2006-12-15

poprawiono

2006-12-27

Twórcy

autor

Tomasz Praczyk

• Institute of Navigation and Hydrography, Naval University of Gdynia, ul. Smidowicza 69, 81-103 Gdynia, Poland

Bibliografia

• Kuchariew G. (1999): Processing and Digital Images Analysis. - Szczecin: Technical University Press, (in Polish).
• Praczyk T. (2006a): Automatic radar navigational system. - Theoretical and Applied Informatics, Vol.18, No.2, pp.91-108.
• Praczyk T. (2006b): Artificial neural networks application in marime, coastal, spare positioning system. - Theoretical and Applied Informatics, Vol.18, No.3, pp.175-188.
• Praczyk T. (2006c): Application of neural networks and radar navigational aids of shore area to positioning. - Computational Methods in Science and Technology, Vol.12, No.2, pp.53-59.
• Praczyk T. (2006d): Better Kohonen neural network in radar images compression. - Computational Methods in Science and Technology, Vo.12, No.2, pp.61-68.
• Stateczny A. (2001): Comparative Navigation. - Gda±sk: Gdańsk Scientific Society, (in Polish)