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Thematic labelling from hyperspectral remotely sensed imagery: trade-offs in image properties

Foody, G.M., Sargent, I.M., Atkinson, P.M. and Williams, J. (2004) Thematic labelling from hyperspectral remotely sensed imagery: trade-offs in image properties International Journal of Remote Sensing, 25, (12), pp. 2337-2363. (doi:10.1080/01431160310001654969).

Record type: Article

Abstract

The effect of spatial, spectral and noise degradations on the accuracy of two highly contrasting thematic labelling scenarios was investigated. The study used hyperspectral imagery of a site near Falmouth, UK, to assess the effect of the data degradations on the accuracy of supervised classification when the H-resolution scene model was applicable and on labelling when an L-resolution scene model was applicable and no ground data were available. In both scenarios, the spatial, spectral and noise degradations affected the accuracy of labelling. However, over the range of degradations investigated, the noise content of the data was consistently noted to be a major variable affecting the accuracy of labelling.

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Published date: 2004

Identifiers

Local EPrints ID: 15442
URI: http://eprints.soton.ac.uk/id/eprint/15442
ISSN: 0143-1161
PURE UUID: 1eb60520-f4bf-46c8-9d78-a51862f0047b

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Date deposited: 19 Apr 2005
Last modified: 17 Jul 2017 16:49

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Contributors

Author: G.M. Foody
Author: I.M. Sargent
Author: P.M. Atkinson
Author: J. Williams

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