TY - GEN
T1 - Multisensor alignment of image manifolds
AU - Tuia, Devis
AU - Trolliet, Maxime
AU - Volpi, Michele
PY - 2013/12
Y1 - 2013/12
N2 - 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.
AB - 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.
U2 - 10.1109/IGARSS.2013.6723006
DO - 10.1109/IGARSS.2013.6723006
M3 - Conference paper
AN - SCOPUS:84890336618
SN - 9781479911141
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1246
EP - 1249
BT - 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
T2 - 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Y2 - 21 July 2013 through 26 July 2013
ER -