DocumentCode :
2934322
Title :
Super-resolution mapping of the shoreline through soft classification analyses
Author :
Foody, Giles M. ; Muslim, Aidy M. ; Atkinson, Peter M.
Author_Institution :
Dept. of Geogr., Southampton Univ., UK
Volume :
6
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
3429
Abstract :
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).
Keywords :
geophysical techniques; image classification; oceanographic regions; oceanographic techniques; simulated annealing; terrain mapping; RMSE; root mean square error; shoreline; simulated annealing; soft classification analyses; subpixel level; super-resolution mapping; Accuracy; Degradation; Geography; Image analysis; Land surface; Pixel; Predictive models; Remote sensing; Simulated annealing; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1294811
Filename :
1294811
Link To Document :
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