The Consideration of Formal Errors in Spatiotemporal Filtering Using Principal Component Analysis for Regional GNSS Position Time Series.
Weiwei LiYunzhong ShenPublished in: Remote. Sens. (2018)
Keyphrases
- principal component analysis
- spatiotemporal data
- principal components
- covariance matrix
- independent component analysis
- dimension reduction
- information filtering
- formal model
- discriminant analysis
- linear discriminant analysis
- filtering algorithm
- dimensionality reduction
- non stationary
- navigation systems
- moving objects
- feature extraction
- formal methods
- filtering method
- symbolic representation
- multivariate time series
- moving average
- subsequence matching
- spatiotemporal features
- face recognition
- feature space
- low dimensional
- face images
- data sets
- dynamic time warping
- residual errors
- similarity measure
- position information
- spatio temporal
- adaptive filtering
- space time
- lower dimensional
- spatial and temporal
- singular value decomposition
- position and orientation
- autoregressive