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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Detalles Bibliográficos
Autores principales: Laborte, Alice G., Maunahan, Aileen A., Hijmans, Robert J.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2865537/
https://www.ncbi.nlm.nih.gov/pubmed/20463895
http://dx.doi.org/10.1371/journal.pone.0010516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2865537/
https://www.ncbi.nlm.nih.gov/pubmed/20463895
http://dx.doi.org/10.1371/journal.pone.0010516

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