Multisensor alignment of image manifolds

Devis Tuia, Maxime Trolliet, Michele Volpi

Research output: Chapter in Book/Report/Conference proceedingConference paper

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages1246-1249
Number of pages4
DOIs
Publication statusPublished - Dec 2013
Event2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia
Duration: 21 Jul 201326 Jul 2013

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
CountryAustralia
CityMelbourne, VIC
Period21/07/1326/07/13

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  • Cite this

    Tuia, D., Trolliet, M., & Volpi, M. (2013). Multisensor alignment of image manifolds. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings (pp. 1246-1249). [6723006] (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2013.6723006