Multispectral image fusion using local mapping techniques

In this paper, fusion of multispectral images for visualization is aimed at, based on the projection of the scatter-diagrams onto a one-dimensional space. Linear as well as nonlinear projection techniques are used. In contrast with existing mapping techniques which work globally, a local mapping technique is constructed. In this technique, the images are subdivided into blocks, where each block of pixels is visualized through a different map. Then, for each pixel, a locally adapted map is created by weighting the maps of the surrounding blocks using Euclidean distance measure. A linear local mapping, based on local PCA and a nonlinear local mapping, based on Kohonen´s SOM map are generated and compared to the global procedures. Experiments are conducted on multispectral LANDSAT imagery