Goal of this work is to present a general and formal solution to the problem of multisensor image data fusion and to apply its results to a specific case study concerning multi-spectral observations: Landsat TM (30m resolution) and MOMS-2P (18m). The proposed scheme relies on the generalized Laplacian pyramid (GLP), which is a non-dyadic band-pass analysis structure unconstrained from the ground scales of the imaged data: for a p/q > 1 ratio only one low-pass filter with cut-off at 1/p of the spatial frequency content is needed. Filter design is easy and noncritical for performances. Thus, the pyramid method is simple to be designed and generalized to images having whatsoever ground resolution, as in most applications involving new-generation sensors.

Multispectral fusion of multisensor image data by the generalized Laplacian pyramid / Aiazzi, Bruno; Alparone, Luciano; Barducci, Alessandro; Baronti, Stefano; Pippi, Ivan. - STAMPA. - 2:(1999), pp. 1183-1185. (Intervento presentato al convegno Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' tenutosi a Hamburg, Ger nel 28 June - 2 July 1999) [10.1109/IGARSS.1999.774572].

Multispectral fusion of multisensor image data by the generalized Laplacian pyramid

ALPARONE, LUCIANO;
1999

Abstract

Goal of this work is to present a general and formal solution to the problem of multisensor image data fusion and to apply its results to a specific case study concerning multi-spectral observations: Landsat TM (30m resolution) and MOMS-2P (18m). The proposed scheme relies on the generalized Laplacian pyramid (GLP), which is a non-dyadic band-pass analysis structure unconstrained from the ground scales of the imaged data: for a p/q > 1 ratio only one low-pass filter with cut-off at 1/p of the spatial frequency content is needed. Filter design is easy and noncritical for performances. Thus, the pyramid method is simple to be designed and generalized to images having whatsoever ground resolution, as in most applications involving new-generation sensors.
1999
International Geoscience and Remote Sensing Symposium (IGARSS)
Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century'
Hamburg, Ger
28 June - 2 July 1999
Aiazzi, Bruno; Alparone, Luciano; Barducci, Alessandro; Baronti, Stefano; Pippi, Ivan
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1075566
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