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30 October 1997 Pyramid-based multisensor image data fusion
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Roberto Carla, and Leonardo Mortelli "Pyramid-based multisensor image data fusion", Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997);

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