caa a22 4500 467914206 CHVBK 20180406152857.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s11263-006-6852-x doi (NATIONALLICENCE)springer-10.1007/s11263-006-6852-x A Variational Model for P+XS Image Fusion [Elektronische Daten] [Coloma Ballester, Vicent Caselles, Laura Igual, Joan Verdera, Bernard Rougé] We propose an algorithm to increase the resolution of multispectral satellite images knowing the panchromatic image at high resolution and the spectral channels at lower resolution. Our algorithm is based on the assumption that, to a large extent, the geometry of the spectral channels is contained in the topographic map of its panchromatic image. This assumption, together with the relation of the panchromatic image to the spectral channels, and the expression of the low-resolution pixel in terms of the high-resolution pixels given by some convolution kernel followed by subsampling, constitute the elements for constructing an energy functional (with several variants) whose minima will give the reconstructed spectral images at higher resolution. We discuss the validity of the above approach and describe our numerical procedure. Finally, some experiments on a set of multispectral satellite images are displayed. Springer Science + Business Media, LLC, 2006 multispectral images nationallicence topographic map nationallicence image fusion nationallicence energy functional nationallicence Ballester Coloma Departament de Tecnologia, University Pompeu Fabra, Pg. Circumvalació 8, 08003, Barcelona, Spain aut Caselles Vicent Departament de Tecnologia, University Pompeu Fabra, Pg. Circumvalació 8, 08003, Barcelona, Spain aut Igual Laura Departament de Tecnologia, University Pompeu Fabra, Pg. Circumvalació 8, 08003, Barcelona, Spain aut Verdera Joan Departament de Tecnologia, University Pompeu Fabra, Pg. Circumvalació 8, 08003, Barcelona, Spain aut Rougé Bernard CNES, Av. Ed Belin, 31401, Toulouse, France aut International Journal of Computer Vision Kluwer Academic Publishers 69/1(2006-08-01), 43-58 0920-5691 69:1<43 2006 69 11263 https://doi.org/10.1007/s11263-006-6852-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-6852-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ballester Coloma Departament de Tecnologia, University Pompeu Fabra, Pg. Circumvalació 8, 08003, Barcelona, Spain aut NATIONALLICENCE 700 1- Caselles Vicent Departament de Tecnologia, University Pompeu Fabra, Pg. Circumvalació 8, 08003, Barcelona, Spain aut NATIONALLICENCE 700 1- Igual Laura Departament de Tecnologia, University Pompeu Fabra, Pg. Circumvalació 8, 08003, Barcelona, Spain aut NATIONALLICENCE 700 1- Verdera Joan Departament de Tecnologia, University Pompeu Fabra, Pg. Circumvalació 8, 08003, Barcelona, Spain aut NATIONALLICENCE 700 1- Rougé Bernard CNES, Av. Ed Belin, 31401, Toulouse, France aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 69/1(2006-08-01), 43-58 0920-5691 69:1<43 2006 69 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer