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Generalized Laplacian pyramid-based fusion of MS+P image data with spectral distortion minimization (Contributo in atti di convegno)

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Generalized Laplacian pyramid-based fusion of MS+P image data with spectral distortion minimization (Contributo in atti di convegno) (literal)

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B. Aiazzi; L. Alparone; S. Baronti; I. Pippi; M. Selva (2002)
Generalized Laplacian pyramid-based fusion of MS+P image data with spectral distortion minimization
in PCV 2002, ISPRS Commission III Symposium, Photogrammetric Computer Vision, Graz, Austria, 9-13 Sep. 2002
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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 Institute of Applied Physics \"N. Carrara\" IFAC-CNR, Florence, Italy (literal)

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Generalized Laplacian pyramid-based fusion of MS+P image data with spectral distortion minimization (literal)

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Abstract

This work presents a general and formal solution to the problem of fusion of a multi-spectral (MS) image with a higher-resolution panchromatic (P) observation. The method relies on the generalised Laplacian pyramid, which is an over-sampled structure obtained by subtracting from an image its low-pass version. The goal is to selectively performs spatial-frequencies spectrum substitution from an image to another with the constraint of thoroughly retaining the spectral information of the coarser MS data. To this end, a vector injection model has been defined: at each pixel, the detail vector to be added is always parallel to the MS approximation. Furthermore, its components are scaled by factors measuring the ratio of local gains between the MS and P data. 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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