Open AccessFusión de imágenes satelitales usando la transformada de Brovey y enriquecimiento espectral sobre computación heterogénea CPU/GPU
Author(s) -
Andrés Ovidio Restrepo Rodríguez,
Nelson Enrique Vera Parra,
Rubén Javier Medina Daza
Publication year - 2021
Publication title -
investigación e innovación en ingenierías
Language(s) - English
Resource type - Journals
ISSN - 2344-8652
DOI - 10.17081/invinno.9.2.3961
Subject(s) - panchromatic film , computer science , pixel , raspberry pi , image fusion , context (archaeology) , artificial intelligence , image (mathematics) , geography , embedded system , archaeology , internet of things
Satellite image fusion provides a context for potential applications in several fields such as agricultural development, hydrology, environmental studies, and natural disaster actions plans. However, when dealing with large-size images, the time required for the fusion process grows significantly. To reduce processing delays, the present study proposes the use of the Brovey transform as an image-fusion technique together with a spectral richness calibration stage. The proposal makes use of a CPU/GPU heterogeneous computing architecture based on mass parallel processing, conducted with CUDA. The fusion process of a 8192-pixel image evinced a speed-up of 532X. Regarding the quality of the resulting image, a per-band average correlation coefficient of 0.9714 (spatial detail) was obtained when comparing the fused and panchromatic images in an (R,G,B) color space.