Fusion of multispectral and panchromatic satellite sensor imagery based on tailored filtering in the Fourier domain

Lillo‐Saavedra, Mario; Gonzalo, Consuelo; Arquero, Agueda; Martínez, Elvira

doi:10.1080/01431160412331330239

Cited by 67 publications

(37 citation statements)

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“…Other terms, like spatial and spectral ERGAS, have been identified in literature to indicate that the ERGAS index is computed at different spatial resolutions [15]- [18].…”

Section: A Data Fusion Quality and Optimization Of Nc And Kmentioning

confidence: 99%

Unmixing-Based Landsat TM and MERIS FR Data Fusion

Zurita-Milla

Clevers

Schaepman

2008

IEEE Geosci. Remote Sensing Lett.

229

108

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An unmixing-based data fusion technique is used to generate images that have the spatial resolution of Landsat Thematic Mapper (TM) and the spectral resolution provided by the Medium Resolution Imaging Spectrometer (MERIS) sensor. The method requires the optimization of the following two parameters: the number of classes used to classify the TMimage and the size of the MERIS "window" (neighborhood) used to solve the unmixing equations. The ERGAS index is used to assess the quality of the fused images at the TM and MERIS spatial resolutions and to assist with the identification of the best combination of the two parameters that need to be optimized. Results indicate that it is possible to successfully downscale MERIS full resolution data to a Landsat-like spatial resolution while preserving the MERIS spectral resolution. Abstract-An unmixing-based data fusion technique is used to generate images that have the spatial resolution of Landsat Thematic Mapper (TM) and the spectral resolution provided by the Medium Resolution Imaging Spectrometer (MERIS) sensor. The method requires the optimization of the following two parameters: the number of classes used to classify the TM image and the size of the MERIS "window" (neighborhood) used to solve the unmixing equations. The ERGAS index is used to assess the quality of the fused images at the TM and MERIS spatial resolutions and to assist with the identification of the best combination of the two parameters that need to be optimized. Results indicate that it is possible to successfully downscale MERIS full resolution data to a Landsat-like spatial resolution while preserving the MERIS spectral resolution.

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“…Other terms, like spatial and spectral ERGAS, have been identified in literature to indicate that the ERGAS index is computed at different spatial resolutions [15]- [18].…”

Section: A Data Fusion Quality and Optimization Of Nc And Kmentioning

confidence: 99%

Unmixing-Based Landsat TM and MERIS FR Data Fusion

Zurita-Milla

Clevers

Schaepman

2008

IEEE Geosci. Remote Sensing Lett.

229

108

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“…Pradhan et al [97] suggested the use of structural information in SSIM measure between panchromatic and pansharpened images as a spatial quality measure. Lillo-Saavedra et al [115] proposed to use the spatial ERGAS index that includes in its definition the spatial RMSE calculated between each fused spectral band and the image obtained by adjusting the histogram of the original PAN image to the histogram of the corresponding band of the fused MS image.…”

Section: Spatial Quality Assessmentmentioning

confidence: 99%

A survey of classical methods and new trends in pansharpening of multispectral images

Amro

Mateos

Vega

et al. 2011

EURASIP J. Adv. Signal Process.

230

166

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There exist a number of satellites on different earth observation platforms, which provide multispectral images together with a panchromatic image, that is, an image containing reflectance data representative of a wide range of bands and wavelengths. Pansharpening is a pixel-level fusion technique used to increase the spatial resolution of the multispectral image while simultaneously preserving its spectral information. In this paper, we provide a review of the pan-sharpening methods proposed in the literature giving a clear classification of them and a description of their main characteristics. Finally, we analyze how the quality of the pansharpened images can be assessed both visually and quantitatively and examine the different quality measures proposed for that purpose.

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“…Although the original ERGAS index was defined as a global quality index. In Lillo-Saavedra et al (2005), it is showed that their behaviour is rather that of a spectral quality index. It is in this sense that the Wald-ERGAS index will be called ERGAS spectral in this chapter.…”

Section: Quality Measure Of Fused Imagesmentioning

confidence: 99%