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
9728021275
Multisensor image data fusion
generalized Laplacian pyramid
rational scale factor
multiresolution approach
multispectral features
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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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