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ISSN for PRINT: 1064-2315
Institutional price: |
$2573.00 |
Issues per year: |
12 |
2006, Volume38
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87 pages |
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Issue price - $238.00
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Land Cover Classification on Hyperspectral Aerospace Imagery by Separation of Spectral Components Mixtures
Sergey A.
Stankevich
Center of Aerospace Research of the Earth of the Institute of Geological Sciences of National Academy of Sciences of Ukraine, Kiev, Ukraine
Sergey V.
Shklyar
Center of Aerospace Research of the Earth of the Institute of Geological Sciences of National Academy of Sciences of Ukraine, Kiev, Ukraine
ABSTRACT
The rigorous algorithm of separation of mixtures of spectral components in pixels of hyperspectral aerospace imagery on the basis of least-squares method with restrictions, is given. The use of separation of mixtures with the known spectrums of components while land cover classification. Subpixel classification is useful for solving different subject-matter problems of remote sensing.
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Article price - $35.00 |
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