Classifying Cannabis Sativa Flowers, Stems and Leaves using Statistical Machine Learning with Near-Infrared Hyperspectral Reflectance Imaging.
Wayne S. HolmesMelanie Po-Leen OoiYe Chow KuangRay SimpkinIrene Lopez-UbiriaAlvaro VidiellaDan BlanchonGourab Sen GuptaSerge N. DemidenkoPublished in: I2MTC (2020)
Keyphrases
- hyperspectral
- statistical machine learning
- reflectance spectra
- remotely sensed
- remote sensing
- hyperspectral images
- multispectral
- image data
- spectral resolution
- statistical learning
- high resolution
- learning systems
- infrared
- machine learning algorithms
- hyperspectral data
- image analysis
- pixel classification
- spatial resolution
- satellite images
- target detection
- hyperspectral imaging
- hyperspectral remote sensing
- hyperspectral image classification
- image processing
- imaging systems
- hyperspectral imagery
- photometric stereo
- information content
- spectral data
- spectral bands
- change detection
- machine learning
- computer vision
- human skin
- dimensionality reduction
- spectral signatures
- feature extraction
- color constancy
- single image
- decision trees
- data sets