A feedforward linear neural network with Hebba selforganization in radar image compression

• Autorzy: Praczyk T.
• Języki publikacji: EN

Abstrakty

EN

The article presents the application of the feedforward neural network with Hebba selforganization to radar images compression. Influence of number of neurons and size of segments of a radar image to its compressed form is checked.

Słowa kluczowe

EN

neural networks; comparative navigation

PL

sieci neuronowe; nawigacja porównawcza

• Wydawca: Polskie Forum Nawigacyjne
• Czasopismo: Annual of Navigation
• Rocznik: 2006
• Tom: No. 11
• Strony: 89--94
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Praczyk T.

• Naval University of Gdynia

Bibliografia

• [1] Kuchariew G., Processing and digital images analysis, Technical University Szczecin, Szczecin 1999 (in Polish).
• [2] Osowski S., Neural networks in algorithmic depiction, WNT, Warszawa 1996 (in Polish).
• [3] Praczyk T., Radar images compression for the need of a positioning coastal system and an assessment of this process, Annual of Navigation, 2004, no. 8.
• [4] Praczyk T., Kohonen neural network in radar images compression, Scientific Bulletin, 2003, no. 1, Naval University of Gdynia (in Polish).
• [5] Praczyk T., GRNN in radar images compression, Scientific Bulletin, 2003, no. 3, Naval University of Gdynia (in Polish).
• [6] Stateczny A., Praczyk T., Artificial neural networks in radar image compression, Iternational Radar Symposium IRS 2003, Drezno.
• [7] Stateczny A., Praczyk T., Artificial neural networks in ships recognition, Gdańsk Scientific Society, 2002 (in Polish).
• [8] Tadeusiewicz R., Flesiński M., Image recognition, PWN, Warszawa 1991 (in Polish).