Decision-Driven Pyramid Fusion of Multispectral and Panchromatic Images (Contributo in atti di convegno)

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  • Decision-Driven Pyramid Fusion of Multispectral and Panchromatic Images (Contributo in atti di convegno) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Alternative label
  • B. Aiazzi; L. Alparone; S. Baronti; I. Pippi (2003)
    Decision-Driven Pyramid Fusion of Multispectral and Panchromatic Images
    in 22nd EARSeL Symposium (European Association of Remote Sensing Laboratories), Praga, Rep. Ceca, 4-6 Giugno 2002
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • B. Aiazzi; L. Alparone; S. Baronti; I. Pippi (literal)
Pagina inizio
  • 273 (literal)
Pagina fine
  • 278 (literal)
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  • Rotterdam, Paesi Bassi (literal)
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  • http://www.earsel.org/symposia/2002-symposium-Prague/pdf/038.pdf (literal)
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  • Geoinformation for European-wide integration, Proceedings of the 22nd EARSeL Symposium (literal)
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  • pp.273-278 (literal)
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  • 6 (literal)
Note
  • Google Scholar (literal)
  • ISI Web of Science (WOS) (literal)
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  • Institute of Applied Physics \"N. Carrara\" IFAC-CNR, Florence, Italy Department of Electronics & Telecommunications, University of Florence, Florence, Italy Institute of Applied Physics \"N. Carrara\" IFAC-CNR, Florence, Italy Institute of Applied Physics \"N. Carrara\" IFAC-CNR, Florence, Italy (literal)
Titolo
  • Decision-Driven Pyramid Fusion of Multispectral and Panchromatic Images (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
  • Geoinformation for European-wide Integration (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 90-77017-71-2 (literal)
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  • T. Benes (literal)
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 generalised Laplacian pyramid, which is an oversampled structure obtained by subtracting from an image its low-pass 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 high-pass 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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