Estimation of hydrocarbon content in airborne hyperspectral images by a PLS regression model calibrated on synthetic airborne spectral database.
Vincent LeverPierre-Yves FoucherXavier BriottetLaurent PoutierPhilippe DéliotFrançoise ViallefontDominique DubucqPublished in: IGARSS (2015)
Keyphrases
- regression model
- hyperspectral images
- hyperspectral
- hyperspectral data
- remotely sensed
- hyperspectral imagery
- remote sensing
- generalized linear models
- multispectral
- infrared
- spectral bands
- information content
- semi parametric
- spectral features
- spectral data
- hyperspectral remote sensing
- target detection
- model selection
- image data
- gaussian process
- spatial resolution
- regression analysis
- regression methods
- spectral resolution
- satellite images
- prediction model
- relational databases
- remote sensing images
- partial least squares
- reflectance spectra
- multivariate regression
- machine learning
- multispectral images
- gaussian processes
- neural network
- explanatory variables
- normal form
- support vector
- interval valued data