Endmember Learning with K-Means through SCD Model in Hyperspectral Scene Reconstructions

This paper proposes a simple yet effective method for improving the efficiency of sparse coding dictionary learning (DL) with an implication of enhancing the ultimate usefulness of compressive sensing (CS) technology for practical applications, such as in hyperspectral imaging (HSI) scene reconstruc...

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Detalles Bibliográficos
Autores principales: Chatterjee, Ayan, Yuen, Peter W. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321185/
https://www.ncbi.nlm.nih.gov/pubmed/34460508
http://dx.doi.org/10.3390/jimaging5110085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321185/
https://www.ncbi.nlm.nih.gov/pubmed/34460508
http://dx.doi.org/10.3390/jimaging5110085

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