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2000
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Multispectral Image Fusion Using Local Mapping Techniques

8 years 10 months ago
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.
Paul Scheunders
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Paul Scheunders
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