http://www.cnr.it/ontology/cnr/individuo/prodotto/ID186699
Multispectral fusion of multisensor image data by the generalized Laplacian pyramid (Contributo in atti di convegno)
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- Multispectral fusion of multisensor image data by the generalized Laplacian pyramid (Contributo in atti di convegno) (literal)
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- 1999-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/IGARSS.1999.774572 (literal)
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Bruno Aiazzi; Luciano Alparone; Alessandro Barducci; Stefano Baronti; Ivan Pippi (1999)
Multispectral fusion of multisensor image data by the generalized Laplacian pyramid
in IEEE IGARSS 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium, Amburgo, Germania, 28 Giugno-2 Luglio 1999
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Bruno Aiazzi; Luciano Alparone; Alessandro Barducci; Stefano Baronti; Ivan Pippi (literal)
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- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=774572 (literal)
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- Proceedings of IEEE IGARSS '99: Remote Sensing of the System Earth- A Challenge for the 21st Century (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
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- \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy
Department of Electronic Engineering, University of Florence, Via Santa Marta 3, I-50139 Firenze, Italy
\"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy
\"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy
\"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy (literal)
- Titolo
- Multispectral fusion of multisensor image data by the generalized Laplacian pyramid (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Abstract
- Goal of this work is to present a general and formal solution to the problem of multisensor image data fusion and to apply its results to a specific case study concerning multi-spectral observations: Landsat TM (30m resolution) and MOMS-2P (18m). The proposed scheme relies on the generalized Laplacian pyramid (GLP), which is a non-dyadic band-pass analysis structure unconstrained from the ground scales of the imaged data: for a p/q > 1 ratio only one low-pass filter with cut-off at 1/p of the spatial frequency content is needed. Filter design is easy and noncritical for performances. Thus, the pyramid method is simple to be designed and generalized to images having whatsoever ground resolution, as in most applications involving new-generation sensors. (literal)
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