Land cover classification from hyperspectral remotely sensed data: An investigation of spectral, spatial and noise issues
Land cover classification from hyperspectral remotely sensed data: An investigation of spectral, spatial and noise issues
The effect of spatial, spectral and noise degradations on the accuracy of two thematic labelling scenarios with hyperspectral data was investigated. The noise content of the data was consistently noted as major variable affecting the accuracy of both supervised classification and sub-pixel anomaly detection analyses. Detection of sub-pixel targets was influenced by the spectral contrast of the anomaly from its background.
2728-2730
Foody, G.M.
62843823-1717-4a6e-9dd6-72539e7bf44e
Sargent, I.M.J.
5d618872-c1aa-4758-9c63-84c3c923fc2f
Atkinson, P.M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Williams, J.W.
e541dc8b-53b2-47f6-8e0b-b32ff6cc6765
2001
Foody, G.M.
62843823-1717-4a6e-9dd6-72539e7bf44e
Sargent, I.M.J.
5d618872-c1aa-4758-9c63-84c3c923fc2f
Atkinson, P.M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Williams, J.W.
e541dc8b-53b2-47f6-8e0b-b32ff6cc6765
Foody, G.M., Sargent, I.M.J., Atkinson, P.M. and Williams, J.W.
(2001)
Land cover classification from hyperspectral remotely sensed data: An investigation of spectral, spatial and noise issues.
In International Geoscience and Remote Sensing Symposium (IGARSS).
vol. 6,
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
The effect of spatial, spectral and noise degradations on the accuracy of two thematic labelling scenarios with hyperspectral data was investigated. The noise content of the data was consistently noted as major variable affecting the accuracy of both supervised classification and sub-pixel anomaly detection analyses. Detection of sub-pixel targets was influenced by the spectral contrast of the anomaly from its background.
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Published date: 2001
Venue - Dates:
International Geoscience and Remote Sensing Symposium (Igarrs 2001), University of New South Wales, Sydney, Australia, 2001-07-09 - 2001-07-13
Identifiers
Local EPrints ID: 499515
URI: http://eprints.soton.ac.uk/id/eprint/499515
PURE UUID: 15db7a3b-3eea-4cb4-8c1d-65bb1dce951e
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Date deposited: 24 Mar 2025 17:31
Last modified: 25 Mar 2025 02:35
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Contributors
Author:
G.M. Foody
Author:
I.M.J. Sargent
Author:
P.M. Atkinson
Author:
J.W. Williams
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