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Obtain the difference between histogram matched original PAN and the histogram matched upscaled PAN; 8.
Upscale the NLPCs and the histogram matched PAN using CDF7 filter; 6.
Finally the difference between the two series of eight histogram matched PAN images is added to the upscaled MS image.
The set of eight histogram matched PAN images at 2 m is then upscaled back to 1 m and then to 0.5 m using CDF7 filter.
The same procedure is applied between the PAN at 0.5 m and the MS at 0.5 m, producing eight histogram matched PAN images at 0.5 m resolution.
In this way the spatial information is encapsulated in the histogram matched PAN image, while the spectral information that is specific to each spectral band is contained in the other principal components.
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Finally we apply an efficient histogram matching algorithm on MRMEH to obtain the recognition result.
Perform histogram matching between the downscaled PAN and the NLPCs; 5.
Finally the human motion pose can be reconstructed by histogram matching.
Perform histogram matching between the original PAN and the upscaled NLPCs; 7.
The test data are transformed such that their cumulative histogram matches the cumulative histogram of the training data distribution.
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