Climate Prediction of Satellite-Based Spring Eurasian Vegetation Index (NDVI) using Coupled Singular Value Decomposition (SVD) Patterns.
Liuqing JiKe FanPublished in: Remote. Sens. (2019)
Keyphrases
- singular value decomposition
- remote sensing
- land cover
- remotely sensed data
- climate change
- change detection
- multispectral
- least squares
- remote sensing images
- remotely sensed
- singular values
- satellite data
- low rank
- dimension reduction
- satellite images
- remote sensing data
- dimensionality reduction
- hyperspectral
- latent semantic indexing
- reconstruction error
- image processing
- principal component analysis
- high resolution
- latent semantic analysis
- normalized difference vegetation index
- image analysis
- data sets
- data matrix
- image classification
- neural network
- factorization method
- correlation matrix
- pattern recognition