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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimer: 1064-2315
ISSN En ligne: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v40.i5.30
pages 46-51

Validation of Hyperspectral Data Classification Models

Oleg V. Semeniv
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine
Yuliya V. Shatokhina
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine
Vitaliy A. Yatsenko
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kyiv, Ukraine

RÉSUMÉ

We consider the problem of estimating and classifying the vegetation state. The method of reference vectors for classification of the plants reflection spectrum into several classes, depending on the concentration of chlorophyll available, is proposed. We describe a new approach for validation of satellite hyperspectral data on the basis of comparison with the results of the reflection of spectrum curves, obtained by a ground-based spectrometer


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