Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models.
Shiyuan LiuBin ZhangWeiguang YangTingting ChenHui ZhangYongda LinJiangtao TanXi LiYu GaoSuzhe YaoYubin LanLei ZhangPublished in: Remote. Sens. (2023)
Keyphrases
- remote sensing
- machine learning models
- physiological parameters
- multispectral
- remote sensing images
- change detection
- multi spectral images
- satellite images
- spam filtering
- hyperspectral
- machine learning approaches
- machine learning algorithms
- image processing
- remote sensing imagery
- image analysis
- multispectral images
- remote sensing data
- image fusion
- spatial resolution
- land cover
- remotely sensed images
- multi band
- satellite imagery
- high resolution
- hyperspectral imagery
- high spatial resolution
- learning models
- predictive model
- land cover classification
- satellite data
- machine learning
- remotely sensed
- automatic image registration
- spectral bands
- pattern recognition
- high quality
- hyperspectral data
- active learning
- machine learning methods