Estimating pasture quality of Mediterranean grasslands using hyperspectral narrow bands from field spectroscopy by Random Forest and PLS regressions.
Jesús Fernández-HabasMónica Carriere CañadaAlma María García MorenoJosé Ramón Leal-MurilloMaria P. González-DugoBegoña Abellanas OarPedro J. Gómez-GiráldezPilar Fernández-RebolloPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- random forest
- hyperspectral
- hyperspectral images
- infrared
- hyperspectral data
- hyperspectral remote sensing
- spectral bands
- spectral data
- remote sensing
- multispectral
- image data
- partial least squares
- hyperspectral imagery
- decision trees
- feature set
- target detection
- ensemble methods
- spectral resolution
- high quality
- spatial resolution
- pixel classification
- multi label
- principal components
- random projections
- information content
- high resolution
- image analysis
- similarity measure
- active learning
- neural network
- nmr spectra
- image processing
- multispectral images
- change detection
- base classifiers
- data sets