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.