Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
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.
Wydawca
Czasopismo
Rocznik
Tom
Strony
89--94
Opis fizyczny
Bibliogr. 8 poz., rys., tab.
Twórcy
autor
- 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).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT8-0002-0008