DocumentCode
3236905
Title
Neural Network´s Classification of Terrestrial Surface by Spectral Measuring
Author
Alla, Lavrenuk ; Lilia, Gnibeda ; Katherine, Yarova
Author_Institution
Space Res. Inst., Nat. Acad. of Sci. of Ukraine, Kyiv
fYear
2005
fDate
5-7 Sept. 2005
Firstpage
147
Lastpage
149
Abstract
Intellectual method´s usage for spectral curves analysis is described in article. The method is based on neural networks. The Earth´s surface spectral characteristics estimation is described in this article. Experiments using neural networks were made with different parameters. Various learning methods were used. Neural networks are effective and useful for classification terrestrial surface by spectral measuring.
Keywords
geophysics computing; learning (artificial intelligence); neural nets; pattern classification; remote sensing; spectral analysis; neural network; spectral curve analysis; spectral measurement; surface spectral characteristics estimation; terrestrial surface classification; Earth; Neural networks; Neurons; Pollution measurement; Shape; Snow; Software libraries; Space technology; Vegetation mapping; Water; Distance Earth exploration; neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
Conference_Location
Sofia
Print_ISBN
0-7803-9445-3
Electronic_ISBN
0-7803-9446-1
Type
conf
DOI
10.1109/IDAACS.2005.282959
Filename
4062110
Link To Document