Data fusion and quality assessment of fusion products: methods and examples

In this paper we present ideas about image fusion methods based on the use of partial differential equations (PDE). These ideas have been translated into several mathematical models of fusion procedures. These models have been approached with appropriate numerical algorithms and tested on real data (e.g.,ERS-SAR and SPOT data). Moreover we introduce quality assessment techniques for fusion products, i.e., quantitative procedures able to measure the quality of the fused images compared with the quality of the originals or other images. Somenumerical results, obtained from these quality assessment techniques during tests on real data, are shown.