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HOME » RESOURCES » A Similarity Measure between Regions in Satellite Images, for Zone Classification/Recognition

A Similarity Measure between Regions in Satellite Images, for Zone Classification/Recognition

 



Catalin Cucu-Dumitrescu (ASRC)

Workshop on Innovative Data Mining Techniques in Support of GEOSS, 31 August - 2 September 2009, Romania


Abstract

Specialists all over the world are trying to develop automatic tools for specific data mining. The main interest is the identification of the ground structures, both natural and artificial: agricultural fields, lakes, forests, urban areas, roads, etc. This process is called segmentation.

The accuracy of the border drawing between segments is the main quality requirement for segmentation. The resolution scale of the segmentation is another important matter. It has to do with the dimension of the objects we want to extract from an image, i.e., with the level of details in the final puzzle.

The scale of the segmentation must be adapted to the purpose of the data mining (the different approaches and needs of specialists in different fields interested in satellite images).

For more details, you may download this presentation:

A Similarity Measure between Regions in Satellite Images, for Zone Classification/Recognition, by means of the PRDC Technique (pdf)

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