A variational pansharpening approach based on reproducible kernel Hilbert space and heaviside function.
Liang-Jian DengGemine VivoneWeihong GuoMauro Dalla MuraJocelyn ChanussotPublished in: ICIP (2017)
Keyphrases
- hilbert space
- reproducing kernel hilbert space
- continuous functions
- kernel function
- von neumann
- infinite dimensional
- finite dimensional
- euclidean space
- multivariate time series
- loss function
- differential equations
- scale spaces
- kernel methods
- input space
- convex sets
- learning theory
- feature maps
- special case
- feature space
- support vector
- real valued
- neural network
- domain adaptation
- learning problems