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Land cover classification from hyperspectral data: an investigation of spectral, spatial and noise issues

Record type: Conference or Workshop Item (Paper)

The effect of spatial, spectral and noise degradations on the accuracy of two thematic labelling scenarios with hyperspectral data was investigated. Although all of the degradations significantly influenced accuracy, the noise content of the data was consistently noted as a major variable affecting the accuracy of both supervised classification and sub-pixel anomaly detection analyses

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Citation

Foody, G.M., Sargent, I.M.J., Atkinson, P.M.A. and Williams, J.L. (2001) Land cover classification from hyperspectral data: an investigation of spectral, spatial and noise issues In Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International. IEEE. 3 pp, pp. 2728-2730. (doi:10.1109/IGARSS.2001.978143).

More information

Published date: 2001
Venue - Dates: IGARSS 2001 Conference, 2001-07-09 - 2001-07-13

Identifiers

Local EPrints ID: 15239
URI: http://eprints.soton.ac.uk/id/eprint/15239
PURE UUID: 5372a3ab-faf8-4438-855d-3614e2161bdb

Catalogue record

Date deposited: 08 Apr 2005
Last modified: 17 Jul 2017 16:50

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Contributors

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

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