In this work, a multi-resolution procedure based on a generalized Laplacian pyramid (GLP) with rational scale factor is proposed to merge image data of any resolution and represent them at any scale. The GLP-based data fusion is shown to be superior to a similar scheme based on the discrete wavelet transform (WT), according to a set of parameters established in the literature. The pyramid-generating filters can be easily designed for data of any resolutions, differently from the WT, whose filter-bank design is non-trivial when the ratio between the scales of the images to be merged is not a power of two. Images from Landsat TM and from Panchromatic SPOT are fused together. The resulting bands capture multi-spectral features with enhanced contrast and texture, and an increased spatial resolution, thereby expediting automatic analyses for contextual interpretation of the environment.

A pyramid-based approach to multisensor image data fusion with preservation of spectral signatures / Alparone, L; Cappellini, V; Mortelli, L; Aiazzi, B; Baronti, S; Carla, R. - STAMPA. - (1998), pp. 419-426. (Intervento presentato al convegno 17th EARSeL Symposium on Future Trends in Remote Sensing tenutosi a LYNGBY, DENMARK nel JUN 17-19, 1997).

A pyramid-based approach to multisensor image data fusion with preservation of spectral signatures

ALPARONE, LUCIANO;CAPPELLINI, VITO;
1998

Abstract

In this work, a multi-resolution procedure based on a generalized Laplacian pyramid (GLP) with rational scale factor is proposed to merge image data of any resolution and represent them at any scale. The GLP-based data fusion is shown to be superior to a similar scheme based on the discrete wavelet transform (WT), according to a set of parameters established in the literature. The pyramid-generating filters can be easily designed for data of any resolutions, differently from the WT, whose filter-bank design is non-trivial when the ratio between the scales of the images to be merged is not a power of two. Images from Landsat TM and from Panchromatic SPOT are fused together. The resulting bands capture multi-spectral features with enhanced contrast and texture, and an increased spatial resolution, thereby expediting automatic analyses for contextual interpretation of the environment.
1998
FUTURE TRENDS IN REMOTE SENSING
17th EARSeL Symposium on Future Trends in Remote Sensing
LYNGBY, DENMARK
JUN 17-19, 1997
Alparone, L; Cappellini, V; Mortelli, L; Aiazzi, B; Baronti, S; Carla, R
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1075606
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