Estimating the Composition of Food Nutrients from Hyperspectral Signals Based on Deep Neural Networks.
DaeHan AhnJi-Young ChoiHee-Chul KimJeong-Seok ChoKwang-Deog MoonTaejoon ParkPublished in: Sensors (2019)
Keyphrases
- hyperspectral
- neural network
- remote sensing
- hyperspectral images
- multispectral
- infrared
- target detection
- hyperspectral imagery
- hyperspectral remote sensing
- spectral imagery
- hyperspectral data
- pattern recognition
- image data
- spatial resolution
- spectral bands
- pixel classification
- signal processing
- hyperspectral imaging
- spectral signatures
- information content
- hyperspectral image classification
- reflectance spectra
- satellite images
- multi band
- remote sensing data
- multispectral images
- spectral resolution
- high spatial resolution
- remote sensing images
- independent component analysis
- mutual information
- image processing