A Robust Sparse Representation Model for Hyperspectral Image Classification †

Sparse representation has been extensively investigated for hyperspectral image (HSI) classification and led to substantial improvements in the performance over the traditional methods, such as support vector machine (SVM). However, the existing sparsity-based classification methods typically assume...

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Detalles Bibliográficos
Autores principales: Huang, Shaoguang, Zhang, Hongyan, Pižurica, Aleksandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621471/
https://www.ncbi.nlm.nih.gov/pubmed/28895908
http://dx.doi.org/10.3390/s17092087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621471/
https://www.ncbi.nlm.nih.gov/pubmed/28895908
http://dx.doi.org/10.3390/s17092087

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