Super-resolution target mapping from soft classified remotely sensed imagery
Super-resolution target mapping from soft classified remotely sensed imagery
A simple, efficient algorithm is presented for super-resolution target mapping from remotely sensed images. Following an initial random allocation of pixel proportions to binary 'hard' sub-pixel classes, the algorithm works in a series of iterations, each of which contains two stages. For each iteration, a distance weighted function of
neighbouring pixels is computed for all sub-pixels. Then, on a pixel-by-pixel basis, the '1' with the minimum value of the function is swapped with the '0' with the maximum value of the function, if the swap results in an increase in some
objective function. The algorithm is demonstrated to work reasonably well with simple images, opening the way for further research to explore the algorithm, to extend the algorithm to multiple classes and to develop more efficient, but
equally simple algorithms.
Atkinson, P.M.
96e96579-56fe-424d-a21c-17b6eed13b0b
2001
Atkinson, P.M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Atkinson, P.M.
(2001)
Super-resolution target mapping from soft classified remotely sensed imagery.
Abrahart, R.J. and Carlisle, B.H.
(eds.)
In Proceedings of the 5th International Conference on GeoComputation.
GeoComputation..
Record type:
Conference or Workshop Item
(Paper)
Abstract
A simple, efficient algorithm is presented for super-resolution target mapping from remotely sensed images. Following an initial random allocation of pixel proportions to binary 'hard' sub-pixel classes, the algorithm works in a series of iterations, each of which contains two stages. For each iteration, a distance weighted function of
neighbouring pixels is computed for all sub-pixels. Then, on a pixel-by-pixel basis, the '1' with the minimum value of the function is swapped with the '0' with the maximum value of the function, if the swap results in an increase in some
objective function. The algorithm is demonstrated to work reasonably well with simple images, opening the way for further research to explore the algorithm, to extend the algorithm to multiple classes and to develop more efficient, but
equally simple algorithms.
This record has no associated files available for download.
More information
Published date: 2001
Additional Information:
CD-Rom
Venue - Dates:
5th International Conference on GeoComputation, University of Greenwich, London, United Kingdom, 2000-08-23 - 2000-08-25
Identifiers
Local EPrints ID: 15694
URI: http://eprints.soton.ac.uk/id/eprint/15694
PURE UUID: 36617a1f-f1db-4f00-aee9-9d3ca3ca661b
Catalogue record
Date deposited: 25 May 2005
Last modified: 20 Feb 2024 02:34
Export record
Contributors
Author:
P.M. Atkinson
Editor:
R.J. Abrahart
Editor:
B.H. Carlisle
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics