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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
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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
  1. 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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