In this work, a multiresolution approach, based on a generalized Laplacian pyramid with p:q (i.e., rational) scale factor, is proposed to merge image data of any resolution and represent them at any scale. The resulting bands capture multispectral features with an enhanced spatial resolution. Pyramid-generating filters are assessed and normalization of pyramid layers is introduced to enhance the data fusion performance. Objective and subjective trials show the effectiveness of the proposed method.

A Laplacian pyramid with rational scale factor for multisensor image data fusion

B Aiazzi;L Alparone;S Baronti;
1997

Abstract

In this work, a multiresolution approach, based on a generalized Laplacian pyramid with p:q (i.e., rational) scale factor, is proposed to merge image data of any resolution and represent them at any scale. The resulting bands capture multispectral features with an enhanced spatial resolution. Pyramid-generating filters are assessed and normalization of pyramid layers is introduced to enhance the data fusion performance. Objective and subjective trials show the effectiveness of the proposed method.
1997
Istituto di Fisica Applicata - IFAC
Inglese
P. J. S. G. Ferreira
Proceedings of SAMPTA '97: International Workshop on Sampling Theory and Applications
SampTA 1997, International Workshop on Sampling Theory and Applications
55
60
6
9728021275
http://www.ieeta.pt/~pjf/Sampta97/st-papers.html
Sì, ma tipo non specificato
16-19 Giugno 1997
Aveiro, Portogallo
Multisensor image data fusion
generalized Laplacian pyramid
rational scale factor
multiresolution approach
multispectral features
6
none
Aiazzi, B; Alparone, L; Baronti, S; Cappellini, V; Carlà, R; Mortelli, L
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/227537
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