In this work, a multi-resolution procedure based on a generalized Laplacian pyramid (GLP) with a 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 those of 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. Remotely sensed images from Landsat TM and from Panchromatic SPOT are fused together. Textured regions are enhanced without losing their spectral signatures, thereby expediting automatic analyses for contextual interpretation of the environment.
Pyramid-Based Multi-sensor Image Data Fusion with Enhancement of Textural Features
B Aiazzi;L Alparone;S Baronti;
1997
Abstract
In this work, a multi-resolution procedure based on a generalized Laplacian pyramid (GLP) with a 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 those of 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. Remotely sensed images from Landsat TM and from Panchromatic SPOT are fused together. Textured regions are enhanced without losing their spectral signatures, thereby expediting automatic analyses for contextual interpretation of the environment.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
