Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms.
Tianjiao LiuXiangnan LiuMeiling LiuLing WuPublished in: Sensors (2018)
Keyphrases
- remote sensing
- data mining algorithms
- multi spectral images
- hyperspectral images
- satellite images
- image analysis
- remote sensing data
- remotely sensed
- high spatial resolution
- remote sensing imagery
- multispectral
- hyperspectral data
- remote sensing images
- change detection
- digital image analysis
- data mining tasks
- satellite imagery
- remotely sensed images
- image classification
- hyperspectral
- land cover classification
- preprocessing
- automatic image registration
- remotely sensed data
- high resolution
- image processing
- multispectral images
- data mining
- human skin
- image fusion
- pattern recognition
- input image
- hyperspectral imagery
- satellite data
- image data
- knowledge discovery
- land cover
- normalized difference vegetation index
- remote sensed images
- hyperspectral remote sensing
- streaming time series
- data analysis
- image registration
- data mining techniques
- spectral data
- machine learning
- database
- high dimensional data
- infrared
- spatial resolution