Random Matrix Theory-Based Reduced-Dimension Space-Time Adaptive Processing under Finite Training Samples.
Di SongQi FengShengyao ChenFeng XiZhong LiuPublished in: Remote. Sens. (2022)
Keyphrases
- space time
- training samples
- random matrix theory
- spatial and temporal
- spatio temporal
- video sequences
- high dimensional
- test sample
- feature space
- dynamic scenes
- training set
- number of training samples
- supervised learning
- learning algorithm
- training data
- hyperplane
- multiple view geometry
- sample set
- correlation matrix
- sample size
- scan statistic
- kernel matrix
- support vectors
- multiple images
- base classifiers
- singular value decomposition
- video data
- text classification
- face images
- three dimensional
- computer vision