Multi-Channel satellite image analysis using a variational approach

• Published in: Pure and Applied Geophysics
• Main Authors: Alvarez, L., Castaño, C. A., García, M., Krissian, K., Mazorra, L., Salgado, A., Sánchez, J.
• Other Authors: Alvarez, Luis, Mazorra, Luis, Salgado, Agustin, Sanchez, Javier, Krissian, Karl, 55640159000, 23468556600, 23389121800, 6602218913, 6506386746, 56268272100, 22735426600, 478566, 4817962, 10332598, 1202623, 1700003, 1889991, 1335721, WOS:Alvarez, L, WOS:Castano, CA, WOS:Garcia, M, WOS:Krissian, K, WOS:Mazorra, L, WOS:Salgado, A, WOS:Sanchez, J
• Format: Conference Object
• Language: English
• Published: 0033-4553 2008
• Subjects: 120601 Construcción de algoritmos; 120602 Ecuaciones diferenciales; 220990 Tratamiento digital. Imágenes; Optic Flow Computation; Cloud-Motion Winds; Classification; Tracking; Fields; Features; Lagrange; North Atlantic
• Online Access: http://hdl.handle.net/10553/54469; https://doi.org/10.1007/s00024-008-0347-3

Currently, meteorological satellites provide multichannel image sequences including visible, temperature and water vapor channels. Based on a variational approach, we propose mathematical models to address some of the usual challenges in satellite image analysis such as: (i) the estimation and smoot...