Evaluation of panchromatic and multispectral image fusion methods using natural images

Heber I. Mejia-Cabrera, Samuel Sanchez, Fernando Monja, Luz A. Cabrejos, Victor Tuesta-Monteza, Manuel G. Forero

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Images provided by various remote sensing satellites are multispectral, low resolution, and panchromatic, high resolution, which are fused, enlarging the low resolution images to make them the same size as the panchromatic ones. Panchromatic images have good spatial resolution but only one spectral band and multispectral images typically have four or eight bands but are four times lower in spatial resolution than a panchromatic image. Image fusion of this type seeks to combine the best feature of the high spatial panchromatic image with the low spatial multispectral image to obtain an image with high spatial and spectral resolution. Several techniques have been developed to perform this fusion however the techniques with low computational resource consumption are EIHS Algorithm, Brovey Algorithm, Averaging Algorithm. To compare them, in this work, natural color photographs are taken, from which high resolution monochromatic and lower resolution chromatic images are obtained to emulate the real situation. The low resolution color images obtained were interpolated using three satellite image interpolation techniques. The fusion techniques were evaluated, obtaining the quantitative spectral and spatial ERGAS indices and the RMSE. The EIHS and Brovey techniques were found to produce artifacts because the color component values can fall above or below the representation interval [0,255]. After correcting this issue, it was found that the EIHS and Brovey methods, in that order, produced the lowest RMSE, followed by the averaging method. Since this result proved to be inconsistent with that obtained with the mean ERGAS, a new normalized mean ERGAS that gives a better indication of fusion quality, matching the result given by the RMSE, was proposed to be used instead.

Idioma originalInglés
Título de la publicación alojadaApplications of Digital Image Processing XLIV
EditoresAndrew G. Tescher, Touradj Ebrahimi
ISBN (versión digital)9781510645226
EstadoPublicada - 2021
Publicado de forma externa
EventoApplications of Digital Image Processing XLIV 2021 - San Diego, Estados Unidos
Duración: 1 ago. 20215 ago. 2021

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X


ConferenciaApplications of Digital Image Processing XLIV 2021
País/TerritorioEstados Unidos
CiudadSan Diego

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