Testing Multivariate Adaptive Regression Splines (MARS) as a Method of Land Cover Classification of TERRA-ASTER Satellite Images

This work proposes a new method to classify multi-spectral satellite images based on multivariate adaptive regression splines (MARS) and compares this classification system with the more common parallelepiped and maximum likelihood (ML) methods. We apply the classification methods to the land cover...

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Detalles Bibliográficos
Autores principales: Quirós, Elia, Felicísimo, Ángel M., Cuartero, Aurora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260627/
https://www.ncbi.nlm.nih.gov/pubmed/22291550
http://dx.doi.org/10.3390/s91109011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260627/
https://www.ncbi.nlm.nih.gov/pubmed/22291550
http://dx.doi.org/10.3390/s91109011

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