A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements.
Lucas Prado OscoAna Paula Marques RamosMayara Maezano Faita PinheiroÉrika Akemi Saito MoriyaNilton Nobuhiro ImaiNayara V. EstrabisFelipe IanczykFábio Fernando de AraújoVeraldo LiesenbergLúcio André de Castro JorgeJonathan LiLingfei MaWesley Nunes GonçalvesJosé Marcato JuniorJosé Eduardo CrestePublished in: Remote. Sens. (2020)
Keyphrases
- random projections
- hyperspectral data
- hyperspectral
- remote sensing
- hyperspectral images
- hyperspectral imaging
- information content
- spectral bands
- hyperspectral image classification
- multispectral
- image data
- spectral data
- hyperspectral imagery
- infrared
- spatial resolution
- remote sensing images
- hyperspectral remote sensing
- spectral imagery
- reflectance spectra
- target detection
- pixel classification
- computer vision
- mutual information
- high resolution
- feature space