Foody, G.M., Muslim, A.M. and Atkinson, P.M.
Super-resolution mapping of the waterline from remotely sensed data
International Journal of Remote Sensing, 26, (24), . (doi:10.1080/01431160500213292).
Full text not available from this repository.
Methods for mapping the waterline at a subpixel scale from a soft image
classification of remotely sensed data are evaluated. Unlike approaches based on
hard classification, these methods allow the waterline to run through rather than
between image pixels and so have the potential to derive accurate and realistic
representations of the waterline from imagery with relatively large pixels. The
most accurate predictions of waterline location were made from a geostatistical
approach applied to the output of a soft classification (RMSE52.25 m) which
satisfied the standards for mapping at 1 : 5000 scale from imagery with a 20m
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