Estimating Above-Ground Biomass of Potato Using Random Forest and Optimized Hyperspectral Indices.
Haibo YangFei LiWei WangKang YuPublished in: Remote. Sens. (2021)
Keyphrases
- random forest
- hyperspectral
- remote sensing
- hyperspectral images
- multispectral
- infrared
- decision trees
- hyperspectral imagery
- hyperspectral data
- hyperspectral remote sensing
- feature set
- image data
- target detection
- ensemble methods
- information content
- change detection
- multi label
- satellite images
- classification accuracy
- data fusion
- naive bayes
- high resolution
- high quality
- image processing