Predicting copper content in chicory leaves using hyperspectral data with continuous wavelet transforms and partial least squares.
Di LinGezi LiYaodi ZhuHaitao LiuLantao LiShah FahadXiya ZhangChang WeiQiujuan JiaoPublished in: Comput. Electron. Agric. (2021)
Keyphrases
- partial least squares
- hyperspectral data
- spectral data
- hyperspectral
- wavelet transform
- hyperspectral images
- dimension reduction
- random projections
- discriminant analysis
- hyperspectral imagery
- multispectral
- factor analysis
- remote sensing
- clustering algorithm
- principal components
- image compression
- principal component analysis
- independent component analysis
- infrared
- ls svm
- low dimensional
- active learning
- support vector
- data sets