A chessboard segmentation is the simplest segmentation available as it just splits the image into square objects with a size predefined by the user. The segmentation does not consider the underlying data and therefore when large objects are created, the features within the data you are trying to classify will not be delineated. This segmentation tends to be used in more advanced processes where segmentation is undertaken in a number ofsteps combined with a classification. An example isthe tree crown delineation algorithm created within Definiens Developer for delineation of crowns within mixed forests in Australia (Bunting and Lucas 2006).
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