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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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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2010
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2865537/ https://ncbi.nlm.nih.gov/pubmed/20463895 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0010516 |
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