Image smoothing of multispectral imagery based on
the HNN and geo-statistics |
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Authors: | Nguyen Quang Minh |
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Institution: | Department of Surveying and Mapping,Deputy Head of International Cooperation Office,University of Mining and Geology,Tu Liem,Hanoi,10000,Vietnam |
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Abstract: | A new method for image down-scaling using geostatistical interpolation or smoothing based on the Hopfi eld Neural
Network (HNN) and zero semivariance value is introduced. The method utilises the smoothing effect of the semivariogram
matching process to produce the smoothened sub-pixel multispectral (MS) image with smaller RMSEs in comparison with the bilinear
interpolation. In fact, the zero semivariograms increase the spatial correlation between the adjacent sub-pixels of the superresolution
image. Containing higher spatial correlation, the resulting super-resolution MS image has smaller RMSEs compared
with the original coarse image. |
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Keywords: | image smoothing HNN Geostistics |
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