Multisensor alignment of image manifolds

Détails

ID Serval
serval:BIB_E2145636371F
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Multisensor alignment of image manifolds
Titre de la conférence
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium IGARSS, Melbourne, Australia
Auteur(s)
Tuia D., Trolliet M., Volpi M.
Editeur
IEEE Conference Publications
Statut éditorial
Publié
Date de publication
2013
Pages
4 p.
Langue
anglais
Notes
Tuia2013
Résumé
The access to many sources of satellite information is nowadays a
reality. However, few methods allow to consider simultaneously data
coming from different sensors, due to the differences in numbers
of bands, spatial resolution and changes in the acquisition conditions.
In this paper, we propose a methodology to align the data structures
(also called manifolds) of two (or more) images and to exploit them
simultaneously in a joint latent space. The method being invertible,
it also have the interesting property to allow to project the image
pixels from one sensor to another, thus allowing to synthesize the
bands of one sensor using the pixels of the other through the projection
learned. Experiments using QuickBird and World-View II images show
the properties of the method and open new opportunities for multisensor
remote-sensing.
Création de la notice
25/11/2013 17:23
Dernière modification de la notice
21/08/2019 5:16
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