2012 IEEE International Geoscience and Remote Sensing Symposium 2012
DOI: 10.1109/igarss.2012.6351611
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Pansharpening using total variation regularization

Abstract: In remote sensing, pansharpening refers to the technique that combines the complementary spectral and spatial resolution characteristics of a multispectral image and a panchromatic image, with the objective to generate a high-resolution color image. This paper presents a new pansharpening method based on the minimization of a variant of total variation. We consider the fusion problem as the colorization of each pixel in the panchromatic image. A new term concerning the gradient of the panchromatic image is int… Show more

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Cited by 12 publications
(8 citation statements)
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“…The two proposed pansharpening methods LR-TV and PCP-TV, are compared with seven state-of-theart methods, including two recent component substitution methods with spectral adjustment: FIHS-SA 3 [18] and GSA 4 [20]; two multiresolution-analysis methods, which are joint winners of the 2006 IEEE Data Fusion Contest 5 [13]: AWLP [23] and GLP-CBD [22], [49]; and three variational methods 6 : P+XS [28] and the two TV based methods presented in Sect. II (respectively referred to as TV_1 for the method in [30] and TV_2 for the method in [35]). …”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The two proposed pansharpening methods LR-TV and PCP-TV, are compared with seven state-of-theart methods, including two recent component substitution methods with spectral adjustment: FIHS-SA 3 [18] and GSA 4 [20]; two multiresolution-analysis methods, which are joint winners of the 2006 IEEE Data Fusion Contest 5 [13]: AWLP [23] and GLP-CBD [22], [49]; and three variational methods 6 : P+XS [28] and the two TV based methods presented in Sect. II (respectively referred to as TV_1 for the method in [30] and TV_2 for the method in [35]). …”
Section: Resultsmentioning
confidence: 99%
“…where the data fidelity term (1/2) Rv−u 2 2 measures the data misfit with respect to u and the regularizer φ(v, p) promotes a solution v with desired properties, which depend on the Pan image p. In this vein, the authors of [30] proposed to add the gradient of the Pan image into the total variation functional, in order to inject important geometric and structural information of the Pan image into the fused image. The optimization problem is defined in [30] as…”
Section: Formulation Of the Pansharpening Inferencementioning
confidence: 99%
“…He et al [30] proposed to add the gradient of the panchromatic image into the total variation functional. Instead of penalizing the oscillations of each spectral band independently, the proposed term couples the regularization of the spectral and panchromatic components as follows:…”
Section: Classical Regularization Strategiesmentioning
confidence: 99%
“…Besides, in order to reduce the time complexity, an alternate variational wavelet pan-sharpening (AVWP) model was suggested by Moeller (2009). On the other hand, by considering the fusion problem as the colourization of the panchromatic image, He et al (2012) introduced a variant of the total variation (TV) to generate a high-resolution pan-sharpened image. In this setting, Palsson, Sveinsson, and Ulfarsson (2014) presented afterwards a simple explicit image formation model with Tikhonov and TV regularization.…”
Section: Introductionmentioning
confidence: 99%