Nonlinear spectral unmixing of hyperspectral images using Gaussian processes
Texte intégral
Figure
Documents relatifs
Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model.. Yoann Altmann, Nicolas Dobigeon,
65 Institute of Particle Physics, Central China Normal University, Wuhan, Hubei, China, associated to 3 66 Departamento de Fisica , Universidad Nacional de Colombia, Bogota,
Given that SBS is swollen by the saturates and aromatics fractions from bitumen [12] it is likely that the maltenes portion that blends with PB is rich in alkanes and
However, although reasonably expected, the extension of our results and those of [17] on the classification of transition fronts having a global mean speed, on the clas- sification
In order to be able to complete the test to failure before a weeKend &to allow a recovery period of 5 days after removal of the sustained load the following dates for the
We calibrated a mathematical model of nanoparticle transport in tumor tissues with ex vivo imag- ing data providing the vascular and cell volume fractions. The computational domain
Este libro será sin duda para muchos una referencia básica, una fuente de datos como de inspiración para futuros trabajos, una obra que abre caminos y “obliga a pensar”,
Increases in physical, emotional, social, and school dimensions of HRQoL would be predicted by higher initial MVPA, higher time 12 and 13 MVPA, and greater overall increases in