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Super-resolution mapping of the shoreline through soft classification analyses — Giles Foody (2004) | RDL Network
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Super-resolution mapping of the shoreline through soft classification analyses
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Giles Foody
University of Nottingham
Super-resolution mapping of the shoreline through soft classification analyses
Article
2004
English
Authors
Giles Foody
University Of Nottingham
AM
Aidy M. Muslim
PA
Peter M. Atkinson
Abstract
1 min read
Methods for mapping the shoreline at a sub-pixel level are evaluated. The most accurate predictions of shoreline location were made from an approach based on simulated annealing applied to the output of a soft classification (RMSE=2.25 m).
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