Spectral signature generalization and expansion can improve the accuracy of satellite image classification.
Conventional supervised classification of satellite images uses a single multi-band image and coincident ground observations to construct spectral signatures of land cover classes. We compared this approach with three alternatives that derive signatures from multiple images and time periods: (1) sig...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2010
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c55f3a2b13404b0589092ac38520f607 |
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