|
Article information
2007 , Volume 12, Special issue, p.194-201
Gopp N.V., Kulikova E.A., Pestunov I.A., Sinyavskiy Y.N., Smirnov V.V.
Classification of forest vegetation formations with close spectral-brightness characteristics using Landsat 7 ETM+ data
Applicability of automatic classification algorithms (clusterization) for decomposition of the forest vegetation formations with close spectral-brightness characteristics using Landsat 7 ETM+ data is considered.
[full text] Author(s):
Gopp N.V.
Address: 630090, Russia, Novosibirsk
Kulikova E.A.
Office: Institute of Computational Technologies SB RAS
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
Pestunov Igor Alekseevich
PhD. , Associate Professor
Position: Leading research officer
Office: Federal Research Center for Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
Phone Office: (383) 334-91-55
E-mail: pestunov@ict.nsc.ru
SPIN-code: 9159-3765Sinyavskiy Yuriy Nikolaevich
Position: Research Scientist
Office: Institute of Computational Technologies SB RAS
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
E-mail: yorikmail@gmail.com
Smirnov V.V.
Office: Institute of Computational Technologies SB RAS
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
E-mail: valentin@sbras.ru
Bibliography link:
Gopp N.V., Kulikova E.A., Pestunov I.A., Sinyavskiy Y.N., Smirnov V.V. Classification of forest vegetation formations with close spectral-brightness characteristics using Landsat 7 ETM+ data // Computational technologies. 2007. V. 12. Special issue. P. 194-201
|
