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Proceedings Paper

Pyramid-based multisensor image data fusion
Author(s): Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Roberto Carla; Leonardo Mortelli
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Paper Abstract

In this work, a multi-resolution procedure based on a generalized Laplacian pyramid (GLP), with p:q (i.e. 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 slightly superior to those of a similar scheme based on the discrete wavelet transform (WT), according to a set of parameters established in the literature. Not only fused images look sharper than their original versions, but also textured regions are enhanced without losing their spectral signatures. 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. Eventually, remotely sensed 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.

Paper Details

Date Published: 30 October 1997
PDF: 12 pages
Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); doi: 10.1117/12.292793
Show Author Affiliations
Bruno Aiazzi, Nello Carrara Research Institute on Electromagnetic Waves (Italy)
Luciano Alparone, Univ. of Florence (Italy)
Stefano Baronti, Nello Carrara Research Institute on Electromagnetic Waves (Italy)
Roberto Carla, Nello Carrara Research Institute on Electromagnetic Waves (Italy)
Leonardo Mortelli, Univ. of Florence (Italy)


Published in SPIE Proceedings Vol. 3169:
Wavelet Applications in Signal and Image Processing V
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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