6. Introducing spatial information into the merge
Spatial information is fundamental to image processing. Its introduction into fusion methods is crucial, and often requires specific developments to adapt methods from other fields. One of the most frequent objectives is to guarantee that the decision is spatially coherent. In multisource classification, for example, we try to avoid isolated points in a different class.
6.1 At the modeling level
The introduction of spatial information at the modeling level is more or less implicit, depending on the level of representation used. If we reason at pixel level, the information contained in a pixel does not contain any spatial information, and this must therefore be introduced explicitly. The spatial context considered is usually the local neighborhood of each point....
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Introducing spatial information into the merge
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