On the value of the Kullback-Leibler divergence for cost-effective spectral imaging of plants by optimal selection of wavebands.
Landry BenoitRomain BenoitÉtienne BelinRodolphe VadaineDidier DemillyFrançois Chapeau-BlondeauDavid RousseauPublished in: Mach. Vis. Appl. (2016)
Keyphrases
- cost effective
- kullback leibler divergence
- optimal selection
- mutual information
- information theory
- information theoretic
- probability density function
- distance measure
- low cost
- kl divergence
- cost effectiveness
- diffusion tensor
- marginal distributions
- model selection
- similarity measure
- image registration
- hidden markov models
- multiscale