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), 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)
Related URLs:
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GE Environmental Sciences
G Geography. Anthropology. Recreation > GB Physical geography
Divisions : University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
ePrint ID: 54940
Accepted Date and Publication Date:
20 December 2005Published
12 August 2003Submitted
Date Deposited: 01 Aug 2008
Last Modified: 31 Mar 2016 12:34

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