Multisensor alignment of image manifolds

Autor:	Devis Tuia, Michele Volpi, Maxime Trolliet
Rok vydání:	2013
Předmět:	Image fusion Pixel Property (programming) business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION PE&RC Image (mathematics) Life Science Computer vision Artificial intelligence Projection (set theory) business Image resolution
Zdroj:	IGARSS 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013-Proceedings
DOI:	10.1109/igarss.2013.6723006
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2e1bdc9c75a2963617126f59a4fb6f2 https://doi.org/10.1109/igarss.2013.6723006 Zobrazit plný text záznamu