RT Book,_Section
T1 Towards a multi-device versión of the HYFMGPU Algorithm
A1 Fernández Fabeiro, Jorge
A1 Ordóñez Iglesias, Álvaro
A1 González Escribano, Arturo
A1 Blanco Heras, Dora
K1 Hyperspectral imaging
K1 Image registration
K1 Fourier transforms
K1 MultiGPU
K1 CUDA
K1 OpenMP
K1 Remote sensing
AB The 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 needs
PB International Conference on Computational and Mathematical Methods in Science and Engineering
SN 978-84-697-7861-6
YR 2018
FD 2018
LK http://hdl.handle.net/10347/17881
UL http://hdl.handle.net/10347/17881
LA eng
NO Fernández-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.1475157
NO Proceedings of the 18th International Conference on Computational and Mathematical Methodsin Science and Engineering, CMMSE 2018, July 9–14, 2018
NO This work has been partially supported by Regional Government of Castilla y León (Spain) and ERDF program of European Union: PROPHET project (JCYL-VA082P17)
DS Minerva
RD 22 abr 2026