Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition

By María González-Audicana, José Luis Saleta, Raquel Garcia Catalán, Rafael García. IEEE Transactions on Geoscience and Remote Sensing, 2004

666 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/cc98decd850a4fe0d054b0d9bb661b082951e427

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

In Media Technology

Citations in the corpus

Improving Component Substitution Pansharpening Through Multivariate Regression of MS $+$Pan Data (2007, background): “These drawbacks, which may be as annoying as spectral distortions, are emphasized by a misregistration between MS and Pan data, especially if the MRA underlying detail injection is not shift-invariant [15], [18].”
An Efficient Pan-Sharpening Method via a Combined Adaptive PCA Approach and Contourlets (2008, methodology): “The comparison performed here is only between the combined PCA–wavelet method [2] and the PCA–contourlet method.”
Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods (2005, methodology): “The best performance for IHS-based methods occurs when it covers the entire range of bandwidths of all the LRM bands (i.e., Ikonos and QuickBird panchromatic sensor) [33].”
Optimizing the High-Pass Filter Addition Technique for Image Fusion (2007, background): “The shift variance of the transform can sometimes be a problem in image fusion as it leads to artifacts in the fused or pan-sharpened images (González-Audicana et al., 2004).”
A survey of classical methods and new trends in pansharpening of multispectral images (2011, methodology): “The spatial information injection is performed adding, pixel by pixel, the filtered image that results from subtracting filteredPAN from the original PAN image, to the MS one [31,68].”
A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter (2006, methodology): “Nonetheless , recent studies have shown that if an undecimated discrete wavelet transform (DWT) is used instead of the critically sampled DWT, the spatial resolution of the fused images can be as good as that of images obtained with the IHS fusion method [7]–[11].”
Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest (2007, background): “Such impairments, which may be as much annoying as spectral distortions, are emphasized by mis-registration between MS and Pan data, particularly if the MRA underlying detail injection is not shift-invariant [19], [21].”
A review of remote sensing image fusion methods (2016, methodology): “Intensity-Hue-Saturation (IHS) [39], principal component analysis (PCA) [9], Brovey transform (BT) [40], and Gram-Schmidt (GS) [41] belong to this class of pansharpening.”
Fusion of multispectral and panchromatic Satellite images using the curvelet transform (2005, methodology): “To estimate the global spectral quality of the fused images, we used the following parameters [7]–[10]: We expressed the index of the relative average spectral error (RASE) as a percentage.”
Assessment of image fusion procedures using entropy, image quality, and multispectral classification (2008, methodology): “Wavelet fusion has been used for pan-sharpening [34, 39, 40], fusing optical and radar data [41-44], and integrating digital terrain models of differing resolutions [45].”
Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation (2015, methodology): “This matrix equation (1) has been widely advocated in the pan sh rpening and HS pansharpening problems, which consist of fusing a PAN image wit h an MS or an HS image [6], [8], [9].”
Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images (2008, methodology): “…(AWL) technique [5], the injection of wavelet details after applying intensity–hue–saturation (IHS) transformation or principal component analysis [20], the spectral distortion minimization (SDM) with respect to the resam-pled MS data [21], or the spatially adaptive injection as in the…”
Multi-source remote sensing data fusion: status and trends (2010, methodology): “2004 , Zhang and Hong 2005 ) or PCA transform (Gonzalez-Audicana et al.”