http://www.cnr.it/ontology/cnr/individuo/prodotto/ID187113
Quality assessment of decision-driven pyramid-based fusion of high resolution multispectral with panchromatic image data (Contributo in atti di convegno)
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- Quality assessment of decision-driven pyramid-based fusion of high resolution multispectral with panchromatic image data (Contributo in atti di convegno) (literal)
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- 2001-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/DFUA.2001.985909 (literal)
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Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Ivan Pippi (2001)
Quality assessment of decision-driven pyramid-based fusion of high resolution multispectral with panchromatic image data
in URBAN 2001: IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, Roma, Italia, 8-9 Novembre 2001
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- Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Ivan Pippi (literal)
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- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=985909 (literal)
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- Proceedings of URBAN 2001: IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (literal)
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- \"Nello Carrara\" Research Institute on Electromagnetic Waves (IROE), National Research Council (CNR), I-50127 Florence, Italy
Department of Electronics and Telecommunications, University of Florence, I-50139 Florence, Italy
\"Nello Carrara\" Research Institute on Electromagnetic Waves (IROE), National Research Council (CNR), I-50127 Florence, Italy
\"Nello Carrara\" Research Institute on Electromagnetic Waves (IROE), National Research Council (CNR), I-50127 Florence, Italy (literal)
- Titolo
- Quality assessment of decision-driven pyramid-based fusion of high resolution multispectral with panchromatic image data (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Abstract
- This work presents a general and formal solution to the problem of fusion of multispectral data with high-resolution panchromatic images. The method relies on the generalized Laplacian pyramid, which is an oversampled structure obtained by subtracting from an image its lowpass version, and selectively performs spatial-frequencies spectrum substitution from an image to another. The novelty of the present work is that a decision based on thresholding the local CC is utilized to check the physical congruence of fusion, while the ratio of local RMSs between the two images provides a space-varying gain factor by which the injected highpass contribution is equalized. Since the pyramid decomposition is not critically-subsampled, possible impairments in the fused images, due to missing cancellation of aliasing terms, are avoided. Quantitative results are presented and discussed on simulated SPOT 5 data of an urban area (2.5m P, 10m XS) obtained from the MIVIS airborne imaging spectrometer. (literal)
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