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 scatterdiagrams 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 weightingthe maps of the surrounding blocks using a 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.

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: Paul Scheunders
• Keywords: ICPR 2000, Local Mapping, Local Mapping Technique, Mapping Technique