More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing.
Henry KvingeElin FarnellJulia R. DupuisMichael KirbyChris PetersonElizabeth C. SchundlerPublished in: CoRR (2019)
Keyphrases
- hyperspectral
- compressive sensing
- compressive sampling
- data cube
- target detection
- remote sensing
- hyperspectral images
- infrared
- multispectral
- signal processing
- random projections
- sparse representation
- multi dimensional
- image data
- hyperspectral imagery
- random sampling
- data warehouse
- image representation
- relational databases
- compressed sensing
- databases
- image classification
- information content
- pattern recognition
- multiscale
- machine learning
- neural network