Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation.
Kai-Yun LiRaul Sampaio de LimaNiall G. BurnsideEle VahtmäeTiit KutserKarli SeppVictor Henrique Cabral PinheiroMing-Der YangAnts VainKalev SeppPublished in: Remote. Sens. (2022)
Keyphrases
- hyperspectral
- remote sensing
- image analysis
- multispectral
- machine learning
- hyperspectral images
- signal subspace
- pattern recognition
- hyperspectral imagery
- remote sensing images
- spectral imagery
- spatial resolution
- hyperspectral imaging
- target detection
- hyperspectral image classification
- satellite images
- hyperspectral data
- hyperspectral remote sensing
- image data
- spectral bands
- image processing
- change detection
- infrared
- computer vision
- high resolution
- learning algorithm
- pixel classification
- remote sensing data
- multi band
- decision trees
- information content
- spectral data
- support vector machine
- kernel methods
- active learning
- spectral signatures
- feature selection
- reflectance spectra
- information extraction