Spatial enhancement of satellite images using data fusion algorithms in the wavelet domain

Ouarab, Nadia; Achir, Mounir; Khettal, Nassim; Smara, Youcef

doi:10.1109/dfua.2001.985899

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Generally, larger average gradient ,clearer the fused images is improving the spatial resolution. Mean an correlation coefficient reflect the similarity between the fused images and original multispectral images [8][9].…”

Section: Resultsmentioning

confidence: 99%

Image fusion algorithm for multispectral and panchromatic data based on multiple criteria

Jia

et al. 2005

SPIE Proceedings

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Image fusion is a very important research field in remote sensing. In this paper, we propose a fusion algorithm that combines PCA and discrete wavelet transform (DWT). The first principal component of multispectral images and panchromatic image is decomposed by DWT, the focus in the fusion procedure is choosing a set of basic operations on particular sets of wavelet coefficients which correspond to certain frequency bands. Since previous researches had considered relatively simple fusion rules for combining the wavelet coefficients, we developed a multiple criteria based image fusion algorithm which combines several fusion rules including pixel-level rules and feature-level rules to make the final fusion decision under the general framework for multiresolution image fusion. The experiment result of fusion IKONOS panchromatic and multispectral images shows that the proposed method can improve spatial resolution of multispectral images and is suitable for human vision system observation.

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Section: Resultsmentioning

confidence: 99%

Image fusion algorithm for multispectral and panchromatic data based on multiple criteria

Jia

et al. 2005

SPIE Proceedings

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“…It is well known that pansharpening is also known as resolution merge, or other names, such as image integration or multisensory data fusion. Different pansharpening methods have been extensively discussed in the literature [5,6,7].…”

Section: Pansharpening Methodsmentioning

confidence: 99%

Preparing WorldView2 Imagery for Map Updating Projects – Aldjyl/ Aleibayiji (Iraq/ North Baghdad) as a Case Study

Jasim¹,

Salih²,

Luaibi³

2021

ETJ

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“…This specific aspect of data fusion is often referred to as data merge or band-sharpening [4][5][6]. More specifically, sharpened multi-spectral data is a fusion product in which the multi-spectral bands are sharpened via the higher-resolution panchromatic image.…”

Section: Introductionmentioning

confidence: 99%

Fusion of multi-spectral and panchromatic images using fuzzy rule

Yang

Jing

Liu

et al. 2007

Communications in Nonlinear Science and Numerical Simulation

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Spatial enhancement of satellite images using data fusion algorithms in the wavelet domain

Cited by 6 publications

References 2 publications

Image fusion algorithm for multispectral and panchromatic data based on multiple criteria

Image fusion algorithm for multispectral and panchromatic data based on multiple criteria

Preparing WorldView2 Imagery for Map Updating Projects – Aldjyl/ Aleibayiji (Iraq/ North Baghdad) as a Case Study

Fusion of multi-spectral and panchromatic images using fuzzy rule

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