Power laws and inverse motion modelling: Application to turbulence measurements from satellite images

In the context of tackling the ill-posed inverse problem of motion estimation from image sequences, we propose to introduce prior knowledge on flow regularity given by turbulence statistical models. Prior regularity is formalised using turbulence power laws describing statistically self-similar stru...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Héas, P., Mémin, E., Heitz, D., Mininni, P.D.
Formato: JOUR
Materias:
Atmospheric turbulence
Bayesian inference
Energy flux
Image assimilation
Motion structure functions
Power-laws
Bayesian analysis
energy flux
estimation method
inverse problem
numerical model
power law
satellite imagery
turbulence
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_02806495_v64_n1_p_Heas
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

Ejemplares similares

Ejemplares similares