Journal of Automation and Information Sciences
Publicou 12 edições por ano
ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Validation of Hyperspectral Data Classification Models
Volume 40,
Edição 5, 2008,
pp. 46-51
DOI: 10.1615/JAutomatInfScien.v40.i5.30
RESUMO
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
CITADO POR
-
Jihao Yin , Chao Gao , Xiuping Jia , Using Hurst and Lyapunov Exponent For Hyperspectral Image Feature Extraction, IEEE Geoscience and Remote Sensing Letters, 9, 4, 2012. Crossref
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Index, Volume 52, 2020