Compressive sensing of multispectral image based on PCA and Bregman split.
Peng LiuLingjun ZhaoYan MaPublished in: IGARSS (2013)
Keyphrases
- multispectral
- compressive sensing
- random projections
- principal component analysis
- dimensionality reduction
- hyperspectral data
- remote sensing
- remote sensing images
- image data
- sparse representation
- spatial resolution
- compressive sampling
- multispectral images
- dimension reduction
- image analysis
- compressed sensing
- total variation
- multispectral satellite images
- image representation
- signal processing
- face recognition
- principal components
- random sampling
- hyperspectral
- computer vision
- feature extraction
- high dimensional
- face images
- low dimensional
- original data
- feature space
- feature set
- denoising
- k means
- hyperspectral images
- object recognition
- document clustering
- spectral characteristics
- singular value decomposition