Lancaster EPrints

Issues of uncertainty in super-resolution mapping and their implications for the design of an inter-comparison study

Atkinson, Peter M. (2009) Issues of uncertainty in super-resolution mapping and their implications for the design of an inter-comparison study. International Journal of Remote Sensing, 30 (20). pp. 5293-5308. ISSN 0143-1161

Full text not available from this repository.

Abstract

Super-resolution mapping is a relatively new field in remote sensing whereby classification is undertaken at a finer spatial resolution than that of the input remotely sensed multiple-waveband imagery. A variety of different methods for super-resolution mapping have been proposed, including spatial pixel-swapping, spatial simulated annealing, Hopfield neural networks, feed-forward back-propagation neural networks and geostatistical methods. The accuracy of all of these new approaches has been tested, but the tests have tended to focus on the new technique (i.e. with little benchmarking against other techniques) and have used different measures of accuracy. There is, therefore, a need for greater inter-comparison between the various methods available, and a super-resolution inter-comparison study would be a welcome step towards this goal. This paper describes some of the issues that should be considered in the design of such a study.

Item Type: Article
Journal or Publication Title: International Journal of Remote Sensing
Additional Information: M1 - 20
Subjects:
Departments: Faculty of Science and Technology
ID Code: 77198
Deposited By: ep_importer_pure
Deposited On: 18 Dec 2015 09:24
Refereed?: Yes
Published?: Published
Last Modified: 17 Nov 2017 12:08
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/77198

Actions (login required)

View Item