estimation from hyperspectral data of saline vegetation by machine learning.
Daosheng ChenFei ZhangMou Leong TanNgai Weng ChanJingchao ShiChangjiang LiuWeiwei WangPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- hyperspectral data
- machine learning
- remote sensing
- hyperspectral
- hyperspectral imagery
- hyperspectral images
- multispectral
- remotely sensed data
- land cover
- random projections
- infrared
- kernel methods
- satellite images
- change detection
- remote sensing images
- high resolution
- pattern recognition
- text mining
- data analysis
- learning algorithm
- target detection
- support vector machine
- active learning