Efficient Unsupervised Classification of Hyperspectral Images Using Voronoi Diagrams and Strong Patterns

Hyperspectral images (HSIs) are a powerful tool to classify the elements from an area of interest by their spectral signature. In this paper, we propose an efficient method to classify hyperspectral data using Voronoi diagrams and strong patterns in the absence of ground truth. HSI processing consum...

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Detalles Bibliográficos
Autores principales: Bilius, Laura Bianca, Pentiuc, Ştefan Gheorghe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582408/
https://www.ncbi.nlm.nih.gov/pubmed/33027997
http://dx.doi.org/10.3390/s20195684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582408/
https://www.ncbi.nlm.nih.gov/pubmed/33027997
http://dx.doi.org/10.3390/s20195684

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