http://www.cnr.it/ontology/cnr/individuo/prodotto/ID186654
Aspects of multi-scale analysis for managing spectral and temporal coverages of space-borne high-resolution images (Contributo in atti di convegno)
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- Aspects of multi-scale analysis for managing spectral and temporal coverages of space-borne high-resolution images (Contributo in atti di convegno) (literal)
- Anno
- 1999-01-01T00:00:00+01:00 (literal)
- Alternative label
Bruno Aiazzi; Luciano Alparone; Alessandro Barducci; Stefano Baronti; Roberto Carlà; Ivan Pippi (1999)
Aspects of multi-scale analysis for managing spectral and temporal coverages of space-borne high-resolution images
in Concerted Action MAVIRIC 1998, Machine Vision in Remotely Sensed Image Comprehension Workshop, Londra, Gran Bretagna, 18-21 Maggio 1998
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Bruno Aiazzi; Luciano Alparone; Alessandro Barducci; Stefano Baronti; Roberto Carlà; Ivan Pippi (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Machine Vision and Advanced Image Processing in Remote Sensing: Proceedings of Concerted Action MAVIRIC (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- \"Nello Carrara\" IROE-CNR, Via Panciatichi 64, 50127 Firenze, Italy
Department of Electronic Engineering, University of Florence, Via S. Marta 3, 50129 Firenze, Italy
\"Nello Carrara\" IROE-CNR, Via Panciatichi 64, 50127 Firenze, Italy
\"Nello Carrara\" IROE-CNR, Via Panciatichi 64, 50127 Firenze, Italy
\"Nello Carrara\" IROE-CNR, Via Panciatichi 64, 50127 Firenze, Italy
\"Nello Carrara\" IROE-CNR, Via Panciatichi 64, 50127 Firenze, Italy (literal)
- Titolo
- Aspects of multi-scale analysis for managing spectral and temporal coverages of space-borne high-resolution images (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- I. Kanellopoulos; G. G. Wilkinson; T. Moons (literal)
- Abstract
- In this work, a multi-resolution procedure based on a generalized Laplacian pyramid with rational scale factor is proposed to merge data of any resolution and represent them at any scale. The pyramidal data fusion approach is shown to be superior to a similar scheme based on the discrete wavelet transform, according to a set of parameters established in the literature. Not only fused images look sharper than their original versions, but also textured regions are enhanced without losing their spectral signatures. Landsat Thematic Mapper ans SPOT Panchromatic images are fused together. The resulting bands capture multi-spectral features at an increased spatial resolution, thereby expediting automatic analyses for contextual interpretation of the environment. (literal)
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