Utilizing Hyperspectral Reflectance and Machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves.
Dasui LiQingqing HuSiqi RuanJun LiuJinzhi ZhangChun-Gen HuYongzhong LiuYuanyong DianJingjing ZhouPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning algorithms
- hyperspectral
- spectral data
- benchmark data sets
- image data
- reflectance spectra
- hyperspectral images
- remote sensing
- signal subspace
- multispectral
- information content
- learning algorithm
- hyperspectral data
- decision trees
- machine learning
- infrared
- hyperspectral imagery
- hyperspectral image classification
- spectral bands
- machine learning methods
- spatial resolution
- hyperspectral remote sensing
- pixel classification
- target detection
- hyperspectral imaging
- machine learning approaches
- satellite images
- machine learning models
- image processing
- standard machine learning algorithms
- neural network
- color constancy
- data sets
- spectral signatures
- image analysis
- relational databases