Improving super-resolution mapping through combining
multiple super-resolution land-cover maps

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Improving super-resolution mapping through combining multiple super-resolution land-cover maps

Super-resolution mapping (SRM) is an ill-posed problem, and different SRM algorithms may generate non-identical fine spatial resolution land-cover maps (sub-pixel maps) from the same input coarse spatial resolution image. The output sub-pixels maps may each have differing strengths and weaknesses. A...

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Bibliographic Details
Main Authors:	Li, Xiaodong, Ling, Feng, Foody, Giles M., Du, Yun
Format:	Article
Published:	Taylor and Francis 2016
Subjects:	Super-resolution land-cover mapping; Mixed pixels; Voting
Online Access:	https://eprints.nottingham.ac.uk/32952/

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