Extended Averaged Learning Subspace Method for Hyperspectral Data Classification

Averaged learning subspace methods (ALSM) have the advantage of being easily implemented and appear to outperform in classification problems of hyperspectral images. However, there remain some open and challenging problems, which if addressed, could further improve their performance in terms of clas...

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Detalles Bibliográficos
Autores principales: Bagan, Hasi, Takeuchi, Wataru, Yamagata, Yoshiki, Wang, Xiaohui, Yasuoka, Yoshifumi
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/PMC3291909/
https://www.ncbi.nlm.nih.gov/pubmed/22408524
http://dx.doi.org/10.3390/s90604247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3291909/
https://www.ncbi.nlm.nih.gov/pubmed/22408524
http://dx.doi.org/10.3390/s90604247

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