Muslim, A., Foody, G.M. and Atkinson, P.M.
Sub-pixel analysis in shoreline mapping.
In, The Annual Conference of the Remote Sensing and Photogrammetry Society - Scales and Dynamics in Observing the Environment, Nottingham, UK,
10 - 12 Sep 2003.
University of Nottingham, UK,
Remote Sensing and Photogrammetry Society31pp.
Full text not available from this repository.
Malaysia’s shoreline is dynamic and constantly changing. Although the shoreline may
be mapped accurately from fine spatial resolution imagery, this is an impractical
approach for use over large areas. An alternative approach using coarse spatial
resolution satellite sensor imagery, addressed here, is to fit a shoreline boundary at
sub-pixel scale. This paper investigates the effects of utilizing relatively coarse spatial
resolution satellite sensor imagery to produce accurate shoreline maps. For the
purposes of this research a 1m spatial resolution IKONOS satellite sensor image was
used to define the actual location of the shoreline. This image was degraded to
spatial resolutions of 16 m and 32 m, comparable to that of widely used civilian
remote sensors. The coarse spatial resolution images derived were used in the
evaluation of four methods for shoreline mapping. The conventional method based
on hard classification provided an inaccurate and inappropriate representation of the shoreline. Super-resolution methods based on sub-pixel information derived from a
soft classification provided accurate and realistic prediction of the shoreline. The
most accurate prediction of the shoreline, with RMSE less than 2.1 m and 5.2 m for
all the shorelines at 16 m and 32 m spatial resolutions respectively, were derived
from a method based on simulated annealing.
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