A Simple Method for Soil Moisture Determination From LST-VI Feature Space Using Nonlinear Interpolation Based on Thermal Infrared Remotely Sensed Data.
Dianjun ZhangRonglin TangBo-Hui TangHua WuZhao-Liang LiPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2015)
Keyphrases
- thermal infrared
- feature space
- remotely sensed data
- soil moisture
- high dimensional feature space
- infrared
- remote sensing data
- remote sensing
- visible spectrum
- multispectral
- land cover
- feature selection
- high dimensional
- mean shift
- kernel function
- image classification
- change detection
- feature vectors
- dimensionality reduction
- input space
- synthetic aperture radar
- principal component analysis
- hyperspectral images
- data points
- computer vision
- signal to noise ratio
- dimension reduction
- linear discriminant analysis
- image reconstruction