Using mixed objects in the training of object-based image classifications

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Using mixed objects in the training of object-based image classifications

Image classification for thematic mapping is a very common application in remote sensing, which is sometimes realized through object-based image analysis. In these analyses, it is common for some of the objects to be mixed in their class composition and thus violate the commonly made assumption of o...

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Bibliographic Details
Main Authors:	Costa, Hugo, Foody, Giles M., Boyd, Doreen S.
Format:	Article
Published:	Elsevier 2017
Subjects:	OBIA; Mixed pixels; Under-segmentation; Over-segmentation; Scale parameter
Online Access:	https://eprints.nottingham.ac.uk/39755/

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