Fernández Fabeiro, JorgeOrdóñez Iglesias, ÁlvaroGonzález Escribano, ArturoBlanco Heras, Dora2018-12-052018-12-052018Fernández-Fabeiro, Jorge, Ordóñez, Álvaro, González-Escribano, Arturo, & B. Heras, Dora. (2018). Towards a Multi-device Version of the HYFMGPU Algorithm for Hyperspectral Scenes Registration. Zenodo. http://doi.org/10.5281/zenodo.1475157978-84-697-7861-6http://hdl.handle.net/10347/17881Proceedings of the 18th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2018, July 9–14, 2018The task consisting on estimating the translation, rotation and scaling of an image with respect to another take of the same scene obtained at different times, viewpoints and/or lightning conditions is known as image registration. Applications like environmental disasters management or rescue operations depend on real-time hyperspectral images registration, but most of the current FFT-based techniques ignore such performance needs. Ordóñez et al. proposed HYFMGPU [1], a single-GPU algorithm whose performance makes it suitable for real-time use cases. As hyperspectral sensors improve, both the size of images and the wavelength ranges covered are expected to increase, so that a multi-GPU implementation is proposed to satisfy such growing needseng© 2018 CMMSE. This work is under a Creative Commons License Attribution 4.0 InternationalAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Hyperspectral imagingImage registrationFourier transformsMultiGPUCUDAOpenMPRemote sensingbook part10.5281/zenodo.1475157open access