In this letter, we investigate the problem of fusion of data collected by sensors having different ground and wavelength resolutions. This is a typical problem encountered in the interpretation of remotely sensed images. The approach that is proposed here is based on the use of cosine-modulated uniform filter banks. We assume that the ratio of the sampling periods of the input data is not integer and show how to design the filter banks so that spectra from different signals can be integrated with a minimum distortion.

Filterbanks Design for Multisensor Data Fusion / ARGENTI F.; L. ALPARONE. - In: IEEE SIGNAL PROCESSING LETTERS. - ISSN 1070-9908. - STAMPA. - 7:(2000), pp. 100-103. [10.1109/97.841152]

Filterbanks Design for Multisensor Data Fusion

ARGENTI, FABRIZIO;ALPARONE, LUCIANO
2000

Abstract

In this letter, we investigate the problem of fusion of data collected by sensors having different ground and wavelength resolutions. This is a typical problem encountered in the interpretation of remotely sensed images. The approach that is proposed here is based on the use of cosine-modulated uniform filter banks. We assume that the ratio of the sampling periods of the input data is not integer and show how to design the filter banks so that spectra from different signals can be integrated with a minimum distortion.
2000
7
100
103
ARGENTI F.; L. ALPARONE
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/310608
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