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001-es BibID:	BIBFORM081907
Első szerző:	Kovács Zoltán (geográfus)
Cím:	An interactive tool for semi-automatic feature extraction of hyperspectral data / Zoltán Kovács, Szilárd Szabó
Dátum:	2016
ISSN:	2391-5447
Megjegyzések:	The spectral reflectance of the surface provides valuable information about the environment, which can be used to identify objects (e.g. land cover classification) or to estimate quantities of substances (e.g. biomass). We aimed to develop an MS Excel add-in - Hyperspectral Data Analyst (HypDA) - for a multipurpose quantitative analysis of spectral data in VBA programming language. HypDA was designed to calculate spectral indices from spectral data with user defined formulas (in all possible combinations involving a maximum of 4 bands) and to find the best correlations between the quantitative attribute data of the same object. Different types of regression models reveal the relationships, and the best results are saved in a worksheet. Qualitative variables can also be involved in the analysis carried out with separability and hypothesis testing; i.e. to find the wavelengths responsible for separating data into predefined groups. HypDA can be used both with hyperspectral imagery and spectrometer measurements. This bivariate approach requires significantly fewer observations than popular multivariate methods; it can therefore be applied to a wide range of research areas.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk hyperspectral data spectral profile reflectance regression hypothesis testing separability indices
Megjelenés:	Open Geosciences. - 8 : 1 (2016), p. 493-502. -
További szerzők:	Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	TÁMOP 4.2.4. A/2-11-1-2012-0001 TÁMOP SROP - 4.2.2.B-15/1/KONV2015-0001 Egyéb RH/751/2015 egyéb
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