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231224s2016 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2016.2556944
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|a eng
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| 100 |
1 |
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|a Restaino, Rocco
|e verfasserin
|4 aut
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| 245 |
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|a Fusion of Multispectral and Panchromatic Images Based on Morphological Operators
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|c 2016
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|a Text
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|a ƒaComputermedien
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|a Date Revised 20.11.2019
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Nonlinear decomposition schemes constitute an alternative to classical approaches for facing the problem of data fusion. In this paper, we discuss the application of this methodology to a popular remote sensing application called pansharpening, which consists in the fusion of a low resolution multispectral image and a high-resolution panchromatic image. We design a complete pansharpening scheme based on the use of morphological half gradient operators and demonstrate the suitability of this algorithm through the comparison with the state-of-the-art approaches. Four data sets acquired by the Pleiades, Worldview-2, Ikonos, and Geoeye-1 satellites are employed for the performance assessment, testifying the effectiveness of the proposed approach in producing top-class images with a setting independent of the specific sensor
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| 650 |
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|a Journal Article
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|a Vivone, Gemine
|e verfasserin
|4 aut
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| 700 |
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|a Dalla Mura, Mauro
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Chanussot, Jocelyn
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 25(2016), 6 vom: 15. Juni, Seite 2882-2895
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|x 1941-0042
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|g volume:25
|g year:2016
|g number:6
|g day:15
|g month:06
|g pages:2882-2895
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