Satellite-image fusion using Brovey transform and spectral richness calibration on heterogeneous computing CPU/GPU

  1. Restrepo Rodríguez, Andrés Ovidio 1
  2. Vera Parra, Nelson Enrique 1
  3. Medina Daza, Rubén Javier 1
  1. 1 Universidad Distrital Francisco José de Caldas
    info

    Universidad Distrital Francisco José de Caldas

    Bogotá, Colombia

    ROR https://ror.org/02jsxd428

Revista:
Investigación e Innovación en Ingenierías

ISSN: 2344-8652

Any de publicació: 2021

Volum: 9

Número: 2

Pàgines: 7-25

Tipus: Article

DOI: 10.17081/INVINNO.9.2.3961 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Altres publicacions en: Investigación e Innovación en Ingenierías

Objectius de Desenvolupament Sostenible

Resum

La fusión de imágenes satelitales proporciona un contexto potencialmente aplicable en el desarrollo de proyectos en diversos campos como agricultura, hidrología, medio ambiente, emergencias producidas por catástrofes naturales como inundaciones e incendios forestales. Sin embargo, cuando se trabajan imágenes con grandes dimensiones el tiempo de respuesta para llevar a cabo esta tarea crece significativamente. Por esta razón, este estudio tiene como propuesta, la implementación de la transformada de Brovey como técnica de fusión de imágenes junto con un ajuste de riqueza espectral sobre una arquitectura de computación heterogénea CPU/GPU utilizando un modelo de procesamiento paralelo masivo, el cual fue implementado mediante CUDA. La evaluación de esta implementación evidenció un Speed-up de hasta 532X en el proceso de fusión de una imagen de 8192 píxeles. En cuanto a calidad de la imagen obtenida, al obtener el coeficiente de correlación entre la imagen fusionada y la pancromática, se obtuvo un promedio de detalle espacial por banda del 0.9714 en un espacio de color (R,G,B).

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Fuente de los datos: Dialnet