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...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Public Library of Science
2010
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/166056 |
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