Image Fusion in Remote Sensing Applications: A Review
Citations
127 citations
Cites background from "Image Fusion in Remote Sensing Appl..."
...Where Kr (i, j) and Kf (i, j) are the image pixel values of the reference and the fused image respectively [255]....
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...MS i is the mean radiance value of theMS image for the ith band [255]....
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...The Q4 index can take up values from 0 to 1 [255]....
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Cites methods from "Image Fusion in Remote Sensing Appl..."
...Like the BT, it is one of the most often used and computationally efficient methods but is limited to three input multispectral bands and sometimes distorts spectral values (Pandit and Bhiwani 2015)....
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...Five standard pansharpening methods (Brovey, IHS, PCA, P + XS, and Wavelet) were adapted to upgrade the resolution of 20 m bands to 10 m using selected or synthesized bands instead of a panchromatic band....
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...The CS methods involve transformations, such as principal component analysis (PCA) (Chavez, Sides, and Anderson 1991), or a spectral transformation, such as intensity– hue–saturation (IHS) transformation (Carper, Lillesand, and Kiefer 1990)....
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...The selection process was constrained by the fact that traditional image fusion methods (e.g. BT, IHS) are limited to a maximum of three input bands of a lower resolution at a time, whereas Sentinel-2 provides six bands at 20 m resolution for fusion, which required them to be divided into two groups (Figure 1)....
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...Conversely, when the higher resolution bands were synthesized or 8, wavelet had slightly lower correlation than the BT, PCA, and IHS methods....
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References
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"Image Fusion in Remote Sensing Appl..." refers background or methods in this paper
...From a practical point of view, the perfect alignment between the interpolated version of the MS and the PAN images should be assured, to avoid the loss of meaning for this quality index [9] [48]....
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...The main drawback of RMSE is that errors in each band are not related to the mean value of the band itself [6] [9] [42] [48]....
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...Since ERGAS is composed by a sum of RMSE values, smaller ERGAS indicates better fusion results and its optimal value is 0 [9] [34] [35] [39] [44] [48]....
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...The Q4 index takes values in [0,1] with one being the best value [4] [9]....
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...in [9] focused some important points as: the lack of universally recognized evaluation criteria, unavailability of image data sets for benchmarking and absence of standardized implementations of the algorithms to make a thorough evaluation and comparison of the different pansharpening methods....
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