The joint use of IHS transform and redundant wavelet decomposition for fusing multispectral and panchromatic images

Chibani, Youcef; Houacine, Amrane

doi:10.1080/01431160110107626

Cited by 86 publications

(45 citation statements)

References 6 publications

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“…Wavelet provide a framework for the decomposition of images into a hierarchy with a decreasing degree of resolution, separating detailed spatial information between successive levels [91]. The discrete approach of the wavelet transform, named discrete wavelet transform (DWT), can be performed using several different approaches, probably the most popular ones for image pansharpening being Mallat's [42,46,92,93] and the "a' trous" [13,94,95] algorithms. Each one has its particular mathematical properties and leads to different image decompositions.…”

Section: Multiresolution Familymentioning

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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Section: Multiresolution Familymentioning

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

View full text Add to dashboard Cite

show abstract

“…Among such methods, Ehlers fusion, guided filter PCA (GFP-CA), and IHS based wavelet transform may be counted among others [34]. In this work, Ehlers fusion is included as a hybrid pansharpening method.…”

Section: Hybrid Methodsmentioning

confidence: 99%

Review and Performance Comparison of Pansharpening Algorithms for RASAT Images

Kahraman¹,

Ertürk²

2018

IU-JEEE

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This study presents the most extensive performance comparison of pansharpening methodologies by considering 17 pansharpening algorithms that are applied to the satellite images obtained from RASAT, which is the first earth observation satellite designed and manufactured in Turkey. Standard and state-of-the-art pansharpening approaches from various categories, such as component substitution (CS), modulation based (MB), multiresolution analysis (MRA), and hybrid and variational methods, are included in order to gain a better insight and perform a thorough analysis of the performance of various pansharpening methods. The experimental validation procedure was designed according to Wald's protocol, and the performance evaluations were conducted both qualitatively and quantitatively on the basis of seven quantitative evaluation criteria.

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“…The Wavelet à Trous transform, or WAT (Nuñez et al 1999) involves basically the application of a series of consecutive convolutions for different levels of image degradation (Nuñez et al 1999, Chibani and Houacine 2002, Ranchin et al 2003, Garzelli et al 2004. WAT requires an iterative filtering process, in which several degradation filters are used to obtain the wavelet coefficients.…”

Section: Wat Methodsmentioning

confidence: 99%

A comparative assessment of different methods for Landsat 7/ETM+ pansharpening

Rodríguez-Galiano

Pardo‐Igúzquiza

Chica-Olmo

et al. 2012

International Journal of Remote Sensing

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The present paper compares a set of relevant methods, based on different mathematical approaches, for Landsat 7 ETM+ pansharpening. The comparison of the fused images is based on the qualitative and quantitative evaluation of their spatial and spectral characteristics by calculating statistical indexes and parameters that measure the quality and coherence of the images. Moreover, the quality of the spectral information is studied indirectly, by means of the ISODATA classification of the products of fusion.The results shows that DCK and L1COR methods yielded better results than the wavelet based did. Particularly, DCK does not introduce artefacts in the estimation of the digital numbers corresponding with the source multispectral image and, therefore, it can be considered as the most coherent method.

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The joint use of IHS transform and redundant wavelet decomposition for fusing multispectral and panchromatic images

Cited by 86 publications

References 6 publications

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

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

Review and Performance Comparison of Pansharpening Algorithms for RASAT Images

A comparative assessment of different methods for Landsat 7/ETM+ pansharpening

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