Super-resolution mapping of the waterline from remotely sensed data

Foody, G.M., Muslim, A.M. and Atkinson, P.M. (2005) Super-resolution mapping of the waterline from remotely sensed data International Journal of Remote Sensing, 26, (24), pp. 5381-5392. (doi:10.1080/01431160500213292).


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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 spatial resolution.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1080/01431160500213292
ISSNs: 0143-1161 (print)

ePrint ID: 54940
Date :
Date Event
12 August 2003Submitted
20 December 2005Published
Date Deposited: 01 Aug 2008
Last Modified: 16 Apr 2017 17:45
Further Information:Google Scholar

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