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Super-resolution mapping of the shoreline through soft classification analogues

Record type: Conference or Workshop Item (Paper)

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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Citation

Foody, G.M., Muslim, A.M. and Atkinson, P.M. (2003) Super-resolution mapping of the shoreline through soft classification analogues In Proceedings of IGARSS 2003. IEEE. 3 pp.

More information

Published date: 2003
Additional Information: also on CD-ROM
Venue - Dates: IGARSS 2003 Conference, 2003-07-21 - 2003-07-25

Identifiers

Local EPrints ID: 14547
URI: http://eprints.soton.ac.uk/id/eprint/14547
PURE UUID: 8245b4f0-ce1b-4b5e-a597-f08a8a198f2d

Catalogue record

Date deposited: 16 Feb 2005
Last modified: 17 Jul 2017 16:55

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Contributors

Author: G.M. Foody
Author: A.M. Muslim
Author: P.M. Atkinson

University divisions


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